To identify the mechanisms by which perceived scarcity affects consumers' panic-buying behaviours and to explore the underlying reasons for panic-buying. Building on signalling theory and scarcity theory, we constructed a model of panic-buying behaviour. In total, 361 sources of valid data were collected via online questionnaires, and partial least squares structural equation modelling was employed for the empirical analysis. In the context of COVID-19, perceived scarcity significantly and positively influenced the macro signals, for example, by impacting perceived value and perceived competitiveness. Furthermore, perceived scarcity significantly affected consumers' micro signals, such as their perceived anxiety and perceived uncertainty. In combination, perceived value, perceived competitiveness, perceived anxiety and perceived uncertainty significantly and positively influenced consumers' panic-buying behaviours. Trust in the government also played a significant role by regulating consumers' micro signals and macro signals. The originality of this paper lies in its in-depth exploration of the multiple impacts of scarcity on consumer perceptions and it reveals the reasons for panic-buying behaviours. In doing so, it provides practical guidelines and understanding for consumers, businesses and the government.
Citation: Cong Cao, Chengxiang Chu, Jinjing Yang. 'If you don't buy it, it's gone!': The effect of perceived scarcity on panic buying[J]. Electronic Research Archive, 2023, 31(9): 5485-5508. doi: 10.3934/era.2023279
[1] | Qian Lin, Yan Zhu . Unicyclic graphs with extremal exponential Randić index. Mathematical Modelling and Control, 2021, 1(3): 164-171. doi: 10.3934/mmc.2021015 |
[2] | Zhen Lin . On the sum of powers of the Aα-eigenvalues of graphs. Mathematical Modelling and Control, 2022, 2(2): 55-64. doi: 10.3934/mmc.2022007 |
[3] | Iman Malmir . Novel closed-loop controllers for fractional nonlinear quadratic systems. Mathematical Modelling and Control, 2023, 3(4): 345-354. doi: 10.3934/mmc.2023028 |
[4] | Zhibo Cheng, Pedro J. Torres . Periodic solutions of the Lp-Minkowski problem with indefinite weight. Mathematical Modelling and Control, 2022, 2(1): 7-12. doi: 10.3934/mmc.2022002 |
[5] | Mrutyunjaya Sahoo, Dhabaleswar Mohapatra, S. Chakraverty . Wave solution for time fractional geophysical KdV equation in uncertain environment. Mathematical Modelling and Control, 2025, 5(1): 61-72. doi: 10.3934/mmc.2025005 |
[6] | Vladimir Stojanovic . Fault-tolerant control of a hydraulic servo actuator via adaptive dynamic programming. Mathematical Modelling and Control, 2023, 3(3): 181-191. doi: 10.3934/mmc.2023016 |
[7] | Jiaquan Huang, Zhen Jia, Peng Zuo . Improved collaborative filtering personalized recommendation algorithm based on k-means clustering and weighted similarity on the reduced item space. Mathematical Modelling and Control, 2023, 3(1): 39-49. doi: 10.3934/mmc.2023004 |
[8] | Qian Wang, Xue Han . Comparing the number of ideals in quadratic number fields. Mathematical Modelling and Control, 2022, 2(4): 268-271. doi: 10.3934/mmc.2022025 |
[9] | Yongming Li, Shou Ma, Kunting Yu, Xingli Guo . Vehicle kinematic and dynamic modeling for three-axles heavy duty vehicle. Mathematical Modelling and Control, 2022, 2(4): 176-184. doi: 10.3934/mmc.2022018 |
[10] | Yanchao He, Yuzhen Bai . Finite-time stability and applications of positive switched linear delayed impulsive systems. Mathematical Modelling and Control, 2024, 4(2): 178-194. doi: 10.3934/mmc.2024016 |
To identify the mechanisms by which perceived scarcity affects consumers' panic-buying behaviours and to explore the underlying reasons for panic-buying. Building on signalling theory and scarcity theory, we constructed a model of panic-buying behaviour. In total, 361 sources of valid data were collected via online questionnaires, and partial least squares structural equation modelling was employed for the empirical analysis. In the context of COVID-19, perceived scarcity significantly and positively influenced the macro signals, for example, by impacting perceived value and perceived competitiveness. Furthermore, perceived scarcity significantly affected consumers' micro signals, such as their perceived anxiety and perceived uncertainty. In combination, perceived value, perceived competitiveness, perceived anxiety and perceived uncertainty significantly and positively influenced consumers' panic-buying behaviours. Trust in the government also played a significant role by regulating consumers' micro signals and macro signals. The originality of this paper lies in its in-depth exploration of the multiple impacts of scarcity on consumer perceptions and it reveals the reasons for panic-buying behaviours. In doing so, it provides practical guidelines and understanding for consumers, businesses and the government.
Let C denote the complex plane and Cn the n-dimensional complex Euclidean space with an inner product defined as ⟨z,w⟩=∑nj=1zj¯wj. Let B(a,r)={z∈Cn:|z−a|<r} be the open ball of Cn. In particular, the open unit ball is defined as B=B(0,1).
Let H(B) denote the set of all holomorphic functions on B and S(B) the set of all holomorphic self-mappings of B. For given φ∈S(B) and u∈H(B), the weighted composition operator on or between some subspaces of H(B) is defined by
Wu,φf(z)=u(z)f(φ(z)). |
If u≡1, then Wu,φ is reduced to the composition operator usually denoted by Cφ. If φ(z)=z, then Wu,φ is reduced to the multiplication operator usually denoted by Mu. Since Wu,φ=Mu⋅Cφ, Wu,φ can be regarded as the product of Mu and Cφ.
If n=1, B becomes the open unit disk in C usually denoted by D. Let Dm be the mth differentiation operator on H(D), that is,
Dmf(z)=f(m)(z), |
where f(0)=f. D1 denotes the classical differentiation operator denoted by D. As expected, there has been some considerable interest in investigating products of differentiation and other related operators. For example, the most common products DCφ and CφD were extensively studied in [1,10,11,12,13,23,25,26], and the products
MuCφD,CφMuD,MuDCφ,CφDMu,DMuCφ,DCφMu | (1.1) |
were also extensively studied in [14,18,22,27]. Following the study of the operators in (1.1), people naturally extend to study the operators (see [5,6,30])
MuCφDm,CφMuDm,MuDmCφ,CφDmMu,DmMuCφ,DmCφMu. |
Other examples of products involving differentiation operators can be found in [7,8,19,32] and the related references.
As studying on the unit disk becomes more mature, people begin to become interested in exploring related properties on the unit ball. One method for extending the differentiation operator to Cn is the radial derivative operator
ℜf(z)=n∑j=1zj∂f∂zj(z). |
Naturally, replacing D by ℜ in (1.1), we obtain the following operators
MuCφℜ,CφMuℜ,MuℜCφ,CφℜMu,ℜMuCφ,ℜCφMu. | (1.2) |
Recently, these operators have been studied in [31]. Other operators involving radial derivative operators have been studied in [21,33,34].
Interestingly, the radial derivative operator can be defined iteratively, namely, ℜmf can be defined as ℜmf=ℜ(ℜm−1f). Similarly, using the radial derivative operator can yield the related operators
MuCφℜm,CφMuℜm,MuℜmCφ,CφℜmMu,ℜmMuCφ,ℜmCφMu. | (1.3) |
Clearly, the operators in (1.3) are more complex than those in (1.2). Since CφMuℜm=Mu∘φCφℜm, the operator MuCφℜm can be regarded as the simplest one in (1.3) which was first studied and denoted as ℜmu,φ in [24]. Recently, it has been studied again because people need to obtain more properties about spaces to characterize its properties (see [29]).
To reconsider the operator CφℜmMu, people find the fact
CφℜmMu=m∑i=0Cimℜi(ℜm−iu)∘φ,φ. | (1.4) |
Motivated by (1.4), people directly studied the sum operator (see [2,28])
Sm→u,φ=m∑i=0MuiCφℜi, |
where ui∈H(B), i=¯0,m, and φ∈S(B). Particularly, if we set u0≡⋯≡um−1≡0 and um=u, then Sm→u,φ=MuCφℜm; if we set u0≡⋯≡um−1≡0 and um=u∘φ, then Sm→u,φ=CφMuℜm. In [28], Stević et al. studied the operators Sm→u,φ from Hardy spaces to weighted-type spaces on the unit ball and obtained the following results.
Theorem A. Let m∈N, uj∈H(B), j=¯0,m, φ∈S(B), and μ a weight function on B. Then, the operator Sm→u,φ:Hp→H∞μ is bounded and
supz∈Bμ(z)|uj(φ(z))||φ(z)|<+∞,j=¯1,m, | (1.5) |
if and only if
I0=supz∈Bμ(z)|u0(z)|(1−|φ(z)|2)np<+∞ |
and
Ij=supz∈Bμ(z)|uj(z)||φ(z)|(1−|φ(z)|2)np+j<+∞,j=¯1,m. |
Theorem B. Let m∈N, uj∈H(B), j=¯0,m, φ∈S(B), and μ a weight function on B. Then, the operator Sm→u,φ:Hp→H∞μ is compact if and only if it is bounded,
lim|φ(z)|→1μ(z)|u0(z)|(1−|φ(z)|2)np=0 |
and
lim|φ(z)|→1μ(z)|uj(z)||φ(z)|(1−|φ(z)|2)np+j=0,j=¯1,m. |
It must be mentioned that we find that the necessity of Theorem A requires (1.5) to hold. Inspired by [2,28], here we use a new method and technique without (1.5) to study the sum operator Sm→u,φ from logarithmic Bergman-type space to weighted-type space on the unit ball. To this end, we need to introduce the well-known Bell polynomial (see [3])
Bm,k(x1,x2,…,xm−k+1)=∑m!∏m−k−1i=1ji!m−k−1∏i=1(xii!)ji, |
where all non-negative integer sequences j1, j2,…,jm−k+1 satisfy
m−k+1∑i=1ji=kandm−k+1∑i=1iji=m. |
In particular, when k=0, one can get B0,0=1 and Bm,0=0 for any m∈N. When k=1, one can get Bi,1=xi. When m=k=i, Bi,i=xi1 holds.
In this section, we need to introduce logarithmic Bergman-type space and weighted-type space. Here, a bounded positive continuous function on B is called a weight. For a weight μ, the weighted-type space H∞μ consists of all f∈H(B) such that
‖f‖H∞μ=supz∈Bμ(z)|f(z)|<+∞. |
With the norm ‖⋅‖H∞μ, H∞μ becomes a Banach space. In particular, if μ(z)=(1−|z|2)σ(σ>0), the space H∞μ is called classical weighted-type space usually denoted by H∞σ. If μ≡1, then space H∞μ becomes the bounded holomorphic function space usually denoted by H∞.
Next, we need to present the logarithmic Bergman-type space on B (see [4] for the unit disk case). Let dv be the standardized Lebesgue measure on B. The logarithmic Bergman-type space Apwγ,δ consists of all f∈H(B) such that
‖f‖pApwγ,δ=∫B|f(z)|pwγ,δ(z)dv(z)<+∞, |
where −1<γ<+∞, δ≤0, 0<p<+∞ and wγ,δ(z) is defined by
wγ,δ(z)=(log1|z|)γ[log(1−1log|z|)]δ. |
When p≥1, Apwγ,δ is a Banach space. While 0<p<1, it is a Fréchet space with the translation invariant metric ρ(f,g)=‖f−g‖pApωγ,δ.
Let φ∈S(B), 0≤r<1, 0≤γ<∞, δ≤0, and a∈B∖{φ(0)}. The generalized counting functions are defined as
Nφ,γ,δ(r,a)=∑zj(a)∈φ−1(a)wγ,δ(zj(a)r) |
where |zj(a)|<r, counting multiplicities, and
Nφ,γ,δ(a)=Nφ,γ,δ(1,a)=∑zj(a)∈φ−1(a)wγ,δ(zj(a)). |
If φ∈S(D), then the function Nφ,γ,δ has the integral expression: For 1≤γ<+∞ and δ≤0, there is a positive function F(t) satisfying
Nφ,γ,δ(r,u)=∫r0F(t)Nφ,1(t,u)dt,r∈(0,1),u≠φ(0). |
When φ∈S(D) and δ=0, the generalized counting functions become the common counting functions. Namely,
Nφ,γ(r,a)=∑z∈φ−1(a),|z|<r(logr|z|)γ, |
and
Nφ,γ(a)=Nφ,γ(1,a)=∑z∈φ−1(a)(log1|z|)γ. |
In [17], Shapiro used the function Nφ,γ(1,a) to characterize the compact composition operators on the weighted Bergman space.
Let X and Y be two topological spaces induced by the translation invariant metrics dX and dY, respectively. A linear operator T:X→Y is called bounded if there is a positive number K such that
dY(Tf,0)≤KdX(f,0) |
for all f∈X. The operator T:X→Y is called compact if it maps bounded sets into relatively compact sets.
In this paper, j=¯k,l is used to represent j=k,...,l, where k,l∈N0 and k≤l. Positive numbers are denoted by C, and they may vary in different situations. The notation a≲b (resp. a≳b) means that there is a positive number C such that a≤Cb (resp. a≥Cb). When a≲b and b≳a, we write a≍b.
In this section, we obtain some properties on the logarithmic Bergman-type space. First, we have the following point-evaluation estimate for the functions in the space.
Theorem 3.1. Let −1<γ<+∞, δ≤0, 0<p<+∞ and 0<r<1. Then, there exists a positive number C=C(γ,δ,p,r) independent of z∈K={z∈B:|z|>r} and f∈Apwγ,δ such that
|f(z)|≤C(1−|z|2)γ+n+1p[log(1−1log|z|)]−δp‖f‖Apwγ,δ. | (3.1) |
Proof. Let z∈B. By applying the subharmonicity of the function |f|p to Euclidean ball B(z,r) and using Lemma 1.23 in [35], we have
|f(z)|p≤1v(B(z,r))∫B(z,r)|f(w)|pdv(w)≤C1,r(1−|z|2)n+1∫B(z,r)|f(w)|pdv(w). | (3.2) |
Since r<|z|<1 and 1−|w|2≍1−|z|2, we have
log1|w|≍1−|w|≍1−|z|≍log1|z| | (3.3) |
and
log(1−log1|w|)≍log(1−log1|z|). | (3.4) |
From (3.3) and (3.4), it follows that there is a positive constant C2,r such that wγ,δ(z)≤C2,rwγ,δ(w) for all w∈B(z,r). From this and (3.2), we have
|f(z)|p≤C1,rC2,r(1−|z|2)n+1wγ,δ(z)∫B(z,r)|f(w)|pwγ,δ(w)dv(w)≤C1,rC2,r(1−|z|2)n+1wγ,δ(z)‖f‖pApwγ,δ. | (3.5) |
From (3.5) and the fact log1|z|≍1−|z|≍1−|z|2, the following inequality is right with a fixed constant C3,r
|f(z)|p≤C1,rC2,rC3,r(1−|z|2)n+1+γ[log(1−1log|z|)]−δ‖f‖pApwγ,δ. |
Let C=C1,rC2,rC3,rp. Then the proof is end.
Theorem 3.2. Let m∈N, −1<γ<+∞, δ≤0, 0<p<+∞ and 0<r<1. Then, there exists a positive constant Cm=C(γ,δ,p,r,m) independent of z∈K and f∈Apwγ,δ such that
|∂mf(z)∂zi1∂zi2…∂zim|≤Cm(1−|z|2)γ+n+1p+m[log(1−1log|z|)]−δp‖f‖Apwγ,δ. | (3.6) |
Proof. First, we prove the case of m=1. By the definition of the gradient and the Cauchy's inequality, we get
|∂f(z)∂zi|≤|∇f(z)|≤˜C1supw∈B(z,q(1−|z|))|f(w)|1−|z|, | (3.7) |
where i=¯1,n. By using the relations
1−|z|≤1−|z|2≤2(1−|z|), |
(1−q)(1−|z|)≤1−|w|≤(q+1)(1−|z|), |
and
log(1−1log|z|)≍log(1−1log|w|), |
we obtain the following formula
|f(w)|≤˘C1(1−|z|2)γ+n+1p[log(1−1log|z|)]−δp‖f‖Apwγ,δ |
for any w∈B(z,q(1−|z|)). Then,
supw∈B(z,q(1−|z|))|f(w)|≤˘C1(1−|z|2)γ+n+1p[log(1−1log|z|)]−δp‖f‖Apwγ,δ. |
From (3.1) and (3.2), it follows that
|∂f(z)∂zi|≤ˆC1(1−|z|2)γ+n+1p+1[log(1−1log|z|)]−δp‖f‖Apwγ,δ. | (3.8) |
Hence, the proof is completed for the case of m=1.
We will use the mathematical induction to complete the proof. Assume that (3.6) holds for m<a. For convenience, let g(z)=∂a−1f(z)∂zi1∂zi2…∂zia−1. By applying (3.7) to the function g, we obtain
|∂g(z)∂zi|≤˜C1supw∈B(z,q(1−|z|))|g(w)|1−|z|. | (3.9) |
According to the assumption, the function g satisfies
|g(z)|≤ˆCa−1(1−|z|2)γ+n+1p+a−1[log(1−1log|z|)]−δp‖f‖Apwγ,δ. |
By using (3.8), the following formula is also obtained
|∂g(z)∂zi|≤ˆCa(1−|z|2)γ+n+1p+a[log(1−1log|z|)]−δp‖f‖Apwγ,δ. |
This shows that (3.6) holds for m=a. The proof is end.
As an application of Theorems 3.1 and 3.2, we give the estimate in z=0 for the functions in Apωγ,δ.
Corollary 3.1. Let −1<γ<+∞, δ≤0, 0<p<+∞, and 0<r<2/3. Then, for all f∈Apwγ,δ, it follows that
|f(0)|≤C(1−r2)γ+n+1p[log(1−1logr)]−δp‖f‖Apwγ,δ, | (3.10) |
and
|∂mf(0)∂zl1…∂zlm|≤Cm(1−r2)γ+n+1p+m[log(1−1logr)]−δp‖f‖Apwγ,δ, | (3.11) |
where constants C and Cm are defined in Theorems 3.1 and 3.2, respectively.
Proof. For f∈Apwγ,δ, from Theorem 3.1 and the maximum module theorem, we have
|f(0)|≤max|z|=r|f(z)|≤C(1−r2)γ+n+1p[log(1−1logr)]−δp‖f‖Apwγ,δ, |
which implies that (3.10) holds. By using the similar method, we also have that (3.11) holds.
Next, we give an equivalent norm in Apwγ,δ, which extends Lemma 3.2 in [4] to B.
Theorem 3.3. Let r0∈[0,1). Then, for every f∈Apwγ,δ, it follows that
‖f‖pApwγ,δ≍∫B∖r0B|f(z)|pwγ,δ(z)dv(z). | (3.12) |
Proof. If r0=0, then it is obvious. So, we assume that r0∈(0,1). Integration in polar coordinates, we have
‖f‖pApwγ,δ=2n∫10wγ,δ(r)r2n−1dr∫S|f(rζ)|pdσ(ζ). |
Put
A(r)=wγ,δ(r)r2n−1andM(r,f)=∫S|f(rζ)|pdσ(ζ). |
Then it is represented that
‖f‖pApwγ,δ≍∫r00+∫1r0M(r,f)A(r)dr. | (3.13) |
Since M(r,f) is increasing, A(r) is positive and continuous in r on (0,1) and
limr→0A(r)=limx→+∞xγ[log(1+1x)]δe−(2n−1)x=limx→+∞xγ−δe(2n−1)x=0, |
that is, there is a constant ε>0(ε<r0) such that A(r)<A(ε) for r∈(0,ε). Then we have
∫r00M(r,f)A(r)dr≤2r01−r0maxε≤r≤r0A(r)∫1+r02r0M(r,f)dr≤2r01−r0maxε≤r≤r0A(r)minr0≤r≤1+r02A(r)∫1+r02r0M(r,f)A(r)dr≲∫1r0M(r,f)A(r)dr. | (3.14) |
From (3.13) and (3.14), we obtain the inequality
‖f‖pApwγ,δ≲∫1r0M(r,f)A(r)dr. |
The inequality reverse to this is obvious. The asymptotic relationship (3.12) follows, as desired.
The following integral estimate is an extension of Lemma 3.4 in [4]. The proof is similar, but we still present it for completeness.
Lemma 3.1. Let −1<γ<+∞, δ≤0, β>γ−δ and 0<r<1. Then, for each fixed w∈B with |w|>r,
∫Bωγ,δ(z)|1−⟨z,w⟩|n+β+1dv(z)≲1(1−|w|)β−γ[log(1−1log|w|)]δ. |
Proof. Fix |w| with |w|>r0 (0<r0<1). It is easy to see that
log1r≍1−rforr0≤r<1. | (3.15) |
By applying Theorem 3.3 with
fw(z)=1(1−⟨z,w⟩)n+β+1 |
and using (3.15), the formula of integration in polar coordinates gives
∫B1|1−⟨z,w⟩|n+β+1ωγ,δ(z)dv(z)≲∫1r0M(r,fw)(1−r)γ[log(1−1logr)]δr2n−1dr. | (3.16) |
By Proposition 1.4.10 in [15], we have
M(r,fw)≍1(1−r2|w|2)β+1. | (3.17) |
From (3.16) and (3.17), we have
∫B1|1−⟨z,w⟩|β+2nωγ,δ(z)dv(z)≲∫1r01(1−r2|w|2)β+1(1−r)γ[log(1−1logr)]δr2n−1dr≲∫1r01(1−r|w|)β+1(1−r)γ[log(1−1logr)]δr2n−1dr≲∫|w|r01(1−r|w|)β+1(1−r)γ[log(1−1logr)]δr2n−1dr+∫1|w|1(1−r|w|)β+1(1−r)γ[log(1−1logr)]δr2n−1dr=I1+I2. |
Since [log(1−1logr)]δ is decreasing in r on [|w|,1], we have
I2=∫1|w|1(1−r|w|)β+1(1−r)γ[log(1−1logr)]δr2n−1dr≲1(1−|w|)β+1[log(1−1log|w|)]δ∫1|w|(1−r)γdr≍1(1−|w|)β−γ[log(1−1log|w|)]δ. | (3.18) |
On the other hand, we obtain
I1=∫|w|r01(1−r|w|)β+1(1−r)γ[log(1−1logr)]δr2n−1dr≲∫|w|r0(1−r)γ−β−1(log21−r)δdr. |
If δ=0 and β>γ, then we have
I1(0)≲(1−|w|)γ−β. |
If δ≠0, then integration by parts gives
I1(δ)=−1γ−β(1−|w|)γ−β(log21−|w|)δ+1γ−β(1−r0)γ−β(log21−r0)δ+δγ−βI1(δ−1). |
Since δ<0, γ−β<0 and
(log21−r)δ−1≤(log21−r)δforr0<r<|w|<1, |
we have
I1(δ)≤−1γ−β(1−|w|)γ−β(log21−|w|)δ+δγ−βI1(δ) |
and from this follows
I1(δ)≲(1−|w|)γ−β(log21−|w|)δ≍(1−|w|)γ−β[log(1−1log|w|)]δ |
provided γ−β−δ<0. The proof is finished.
The following gives an important test function in Apwγ,δ.
Theorem 3.4. Let −1<γ<+∞, δ≤0, 0<p<+∞ and 0<r<1. Then, for each t≥0 and w∈B with |w|>r, the following function is in Apwγ,δ
fw,t(z)=[log(1−1log|w|)]−δp(1−|w|2)−δp+t+1(1−⟨z,w⟩)γ−δ+n+1p+t+1. |
Moreover,
sup{w∈B:|w|>r}‖fw,t‖Apwγ,δ≲1. |
Proof. By Lemma 3.1 and a direct calculation, we have
‖fw,t‖pApwγ,δ=∫B|[log(1−1log|w|)]−δp(1−|w|2)−δp+t+1(1−⟨z,w⟩)γ−δ+n+1p+t+1|pwγ,δ(z)dA(z)=(1−|w|2)p(t+1)−δ[log(1−1log|w|)]−δ×∫B1|1−⟨z,w⟩|γ−δ+p(t+1)+n+1wγ,δ(z)dA(z)≲1. |
The proof is finished.
In this section, for simplicity, we define
Bi,j(φ(z))=Bi,j(φ(z),φ(z),…,φ(z)). |
In order to characterize the compactness of the operator Sm→u,φ:Apwγ,δ→H∞μ, we need the following lemma. It can be proved similar to that in [16], so we omit here.
Lemma 4.1. Let −1<γ<+∞, δ≤0, 0<p<+∞, m∈N, uj∈H(B), j=¯0,m, and φ∈S(B). Then, the bounded operator Sm→u,φ:Apwγ,δ→H∞μ is compact if and only if for every bounded sequence {fk}k∈N in Apwγ,δ such that fk→0 uniformly on any compact subset of B as k→∞, it follows that
limk→∞‖Sm→u,φfk‖H∞μ=0. |
The following result was obtained in [24].
Lemma 4.2. Let s≥0, w∈B and
gw,s(z)=1(1−⟨z,w⟩)s,z∈B. |
Then,
ℜkgw,s(z)=sPk(⟨z,w⟩)(1−⟨z,w⟩)s+k, |
where Pk(w)=sk−1wk+p(k)k−1(s)wk−1+...+p(k)2(s)w2+w, and p(k)j(s), j=¯2,k−1, are nonnegative polynomials for s.
We also need the following result obtained in [20].
Lemma 4.3. Let s>0, w∈B and
gw,s(z)=1(1−⟨z,w⟩)s,z∈B. |
Then,
ℜkgw,s(z)=k∑t=1a(k)t(t−1∏j=0(s+j))⟨z,w⟩t(1−⟨z,w⟩)s+t, |
where the sequences (a(k)t)t∈¯1,k, k∈N, are defined by the relations
a(k)k=a(k)1=1 |
for k∈N and
a(k)t=ta(k−1)t+a(k−1)t−1 |
for 2≤t≤k−1,k≥3.
The final lemma of this section was obtained in [24].
Lemma 4.4. If a>0, then
Dn(a)=|11⋯1aa+1⋯a+n−1a(a+1)(a+1)(a+2)⋯(a+n−1)(a+n)⋮⋮⋯⋮n−2∏k=0(a+k)n−2∏k=0(a+k+1)⋯n−2∏k=0(a+k+n−1)|=n−1∏k=1k!. |
Theorem 4.1. Let −1<γ<+∞, δ≤0, 0<p<+∞, m∈N, uj∈H(B), j=¯0,m, and φ∈S(B). Then, the operator Sm→u,φ:Apwγ,δ→H∞μ is bounded if and only if
M0:=supz∈Bμ(z)|u0(z)|(1−|φ(z)|2)γ+n+1p[log(1−1log|φ(z)|)]−δp<+∞ | (4.1) |
and
Mj:=supz∈Bμ(z)|∑mi=jui(z)Bi,j(φ(z))|(1−|φ(z)|2)γ+n+1p+j[log(1−1log|φ(z)|)]−δp<+∞ | (4.2) |
for j=¯1,m.
Moreover, if the operator Sm→u,φ:Apwγ,δ→H∞μ is bounded, then
‖Sm→u,φ‖Apwγ,δ→H∞μ≍m∑j=0Mj. | (4.3) |
Proof. Suppose that (4.1) and (4.2) hold. From Theorem 3.1, Theorem 3.2, and some easy calculations, it follows that
μ(z)|m∑i=0ui(z)ℜif(φ(z))|≤μ(z)m∑i=0|ui(z)||ℜif(φ(z))|=μ(z)|u0(z)||f(φ(z))|+μ(z)|m∑i=1i∑j=1(ui(z)n∑l1=1⋯n∑lj=1(∂jf∂zl1∂zl2⋯∂zlj(φ(z))∑k1,…,kjC(i)k1,…,kjj∏t=1φlt(z)))|=μ(z)|u0(z)f(φ(z))|+μ(z)|m∑j=1m∑i=j(ui(z)n∑l1=1⋯n∑lj=1(∂jf∂zl1∂zl2⋯∂zlj(φ(z))∑k1,…,kjC(i)k1,…,kjj∏t=1φlt(z)))|≲μ(z)|u0(z)|(1−|φ(z)|2)γ+n+1p[log(1−1log|φ(z)|)]−δp‖f‖Apwγ,δ+m∑j=1μ(z)|∑mi=jui(z)Bi,j(φ(z))|(1−|φ(z)|2)γ+n+1p+j[log(1−1log|φ(z)|)]−δp‖f‖Apwγ,δ=M0‖f‖Apwγ,δ+m∑j=1Mj‖f‖Apwγ,δ. | (4.4) |
By taking the supremum in inequality (4.4) over the unit ball in the space Apwγ,δ, and using (4.1) and (4.2), we obtain that the operator Sm→u,φ:Apwγ,δ→H∞μ is bounded. Moreover, we have
‖Sm→u,φ‖Apwγ,δ→H∞μ≤Cm∑j=0Mj, | (4.5) |
where C is a positive constant.
Assume that the operator Sm→u,φ:Apwγ,δ→H∞μ is bounded. Then there exists a positive constant C such that
‖Sm→u,φf‖H∞μ≤C‖f‖Apwγ,δ | (4.6) |
for any f∈Apwγ,δ. First, we can take f(z)=1∈Apwγ,δ, then one has that
supz∈Bμ(z)|u0(z)|<+∞. | (4.7) |
Similarly, take fk(z)=zjk∈Apwγ,δ, k=¯1,n and j=¯1,m, by (4.7), then
μ(z)|u0(z)φk(z)j+m∑i=j(ui(z)Bi,j(φk(z))))|<+∞ | (4.8) |
for any j∈{1,2,…,m}. Since φ(z)∈B, we have |φ(z)|≤1. So, one can use the triangle inequality (4.7) and (4.8), the following inequality is true
supz∈Bμ(z)|m∑i=jui(z)Bi,j(φ(z))|<+∞. | (4.9) |
Let w∈B and dk=γ+n+1p+k. For any j∈{1,2,…,m} and constants ck=c(j)k, k=¯0,m, let
h(j)w(z)=m∑k=0c(j)kfw,k(z), | (4.10) |
where fw,k is defined in Theorem 3.4. Then, by Theorem 3.4, we have
Lj=supw∈B‖h(j)w‖Apwγ,δ<+∞. | (4.11) |
From (4.6), (4.11), and some easy calculations, it follows that
Lj‖Sm→u,φ‖Apwγ,δ→H∞μ≥‖Sm→u,φh(j)φ(w)‖H∞μ=supz∈Bμ(z)|m∑i=0u0(z)h(j)φ(w)(φ(z))|≥μ(w)|u0(w)h(j)φ(w)(φ(w))+m∑i=1(ui(w)ℜih(j)φ(w)(φ(w)))|=μ(w)|u0(w)h(j)φ(w)(φ(w))+m∑i=1ui(w)m∑k=0c(j)kfφ(w),k(φ(w))|=μ(w)|u0(w)c0+c1+⋯+cm(1−|φ(z)|2)γ+n+1p+⟨m∑i=1ui(w)Bi,1(φ(w)),φ(w)⟩(d0c0+⋯+dmcm)(1−|φ(w)|2)γ+n+1p+1+⋯+⟨m∑i=jui(w)Bi,j(φ(w)),φ(w)j⟩(d0⋯dj−1c0+⋯+dm⋯dm+j−1cm)(1−|φ(w)|2)γ+n+1p+j+⋯+⟨um(w)Bm,m(φ(w)),φ(w)m⟩(d0⋯dm−1c0+⋯+dm⋯d2m−1cm)(1−|φ(w)|2)γ+n+1p+m|[log(1−1log|φ(w)|)]−δp. | (4.12) |
Since dk>0, k=¯0,m, by Lemma 4.4, we have the following linear equations
(11⋯1d0d1⋯dm⋮⋮⋱⋮j−1∏k=0dkj−1∏k=0dk+m⋯j−1∏k=0dk+m⋮⋮⋱⋮m−1∏k=0dkm−1∏k=0dk+m⋯m−1∏k=0dk+m)(c0c1⋮cj⋮cm)=(00⋮1⋮0). | (4.13) |
From (4.12) and (4.13), we have
Lj‖Sl→u,φ‖Apwγ,δ→H∞μ≥sup|φ(z)|>1/2μ(z)|∑mi=jui(z)Bi,j(φ(z))||φ(z)|j(1−|φ(z)|2)γ+n+1p+j[log(1−1log|φ(z)|)]−δp≳sup|φ(z)|>1/2μ(z)|∑mi=jui(z)Bi,j(φ(z))|(1−|φ(z)|2)γ+n+1p+j[log(1−1log|φ(z)|)]−δp. | (4.14) |
On the other hand, from (4.9), we have
sup|φ(z)|≤1/2μ(z)|∑mi=jui(z)Bi,j(φ(z))|(1−|φ(z)|2)γ+n+1p+j[log(1−1log|φ(z)|)]−δp≤supz∈B(43)γ+n+1p+j[log(1−1log12)]−δpμ(z)|m∑i=jui(z)Bi,j(φ(z))|<+∞. | (4.15) |
From (4.14) and (4.15), we get that (4.2) holds for j=¯1,m.
For constants ck=c(0)k, k=¯0,m, let
h(0)w(z)=m∑k=0c(0)kfw,k(z). | (4.16) |
By Theorem 3.4, we know that L0=supw∈B‖h(0)w‖Apwγ,δ<+∞. From this, (4.12), (4.13) and Lemma 4.4, we get
L0‖Sm→u,φ‖Apwγ,δ→H∞μ≥μ(z)|u0(z)|(1−|φ(z)|2)γ+n+1p[log(1−1log|φ(z)|)]−δp. |
So, we have M0<+∞. Moreover, we have
‖Sm→u,φ‖Apwγ,δ→H∞μ≥m∑j=0Mj. | (4.17) |
From (4.5) and (4.17), we obtain (4.3). The proof is completed.
From Theorem 4.1 and (1.4), we obtain the following result.
Corollary 4.1. Let m∈N, u∈H(B), φ∈S(B) and μ is a weight function on B. Then, the operator CφℜmMu:Apwγ,δ→H∞μ is bounded if and only if
I0:=supz∈Bμ(z)|ℜmu∘φ(z)|(1−|φ(z)|2)γ+n+1p[log(1−1log|φ(z)|)]−δp<+∞ |
and
Ij:=supz∈Bμ(z)|∑mi=jℜm−iu∘φ(z)Bi,j(φ(z))|(1−|φ(z)|2)γ+n+1p+j[log(1−1log|φ(z)|)]−δp<+∞ |
for j=¯1,m.
Moreover, if the operator CφℜmMu:Apwγ,δ→H∞μ is bounded, then
‖CφℜmMu‖Apwγ,δ→H∞μ≍m∑j=0Ij. |
Theorem 4.2. Let −1<γ<+∞, δ≤0, 0<p<+∞, m∈N, uj∈H(B), j=¯0,m, and φ∈S(B). Then, the operator Sm→u,φ:Apwγ,δ→H∞μ is compact if and only if the operator Sm→u,φ:Apwγ,δ→H∞μ is bounded,
lim|φ(z)|→1μ(z)|∑mi=j(ui(z)Bi,j(φ(z))|(1−|φ(z)|2)γ+n+1p+j[log(1−1log|φ(z)|)]−δp=0 | (4.18) |
for j=¯1,m, and
lim|φ(z)|→1μ(z)|u0(z)|(1−|φ(z)|2)γ+n+1p[log(1−1log|φ(z)|)]−δp=0. | (4.19) |
Proof. Assume that the operator Sm→u,φ:Apwγ,δ→H∞μ is compact. It is obvious that the operator Sm→u,φ:Apwγ,δ→H∞μ is bounded.
If ‖φ‖∞<1, then it is clear that (4.18) and (4.19) are true. So, we suppose that ‖φ‖∞=1. Let {zk} be a sequence in B such that
limk→1|μ(zk)|→1andh(j)k=h(j)φ(zk), |
where h(j)w are defined in (4.10) for a fixed j∈{1,2,…,l}. Then, it follows that h(j)k→0 uniformly on any compact subset of B as k→∞. Hence, by Lemma 4.1, we have
limk→∞‖Sm→u,φhk‖H∞μ=0. |
Then, we can find sufficiently large k such that
μ(zk)|∑mi=j(ui(zk)Bi,j(φ(zk))|(1−|φ(zk)|2)γ+n+1p+j[log(1−1log|φ(zk)|)]−δp≤Lk‖Sm→u,φh(j)k‖H∞μ. | (4.20) |
If k→∞, then (4.20) is true.
Now, we discuss the case of j=0. Let h(0)k=h(0)φ(zk), where h(0)w is defined in (4.16). Then, we also have that ‖h(0)k‖Apwγ,δ<+∞ and h(0)k→0 uniformly on any compact subset of B as k→∞. Hence, by Lemma 4.1, one has that
limk→∞‖Sm→u,φh(0)k‖H∞μ(B)=0. | (4.21) |
Then, by (4.21), we know that (4.18) is true.
Now, assume that Sm→u,φ:Apwγ,δ→H∞μ is bounded, (4.18) and (4.19) are true. One has that
μ(z)|u0(z)|≤C<+∞ | (4.22) |
and
μ(z)|m∑i=j(ui(z)Bi,j(φ(z)))|≤C<+∞ | (4.23) |
for any z∈B. By (4.18) and (4.19), for arbitrary ε>0, there is a r∈(0,1), for any z∈K such that
μ(z)|u0(z)|(1−|φ(z)|2)γ+n+1p[log(1−1log|φ(z)|)]−δp<ε. | (4.24) |
and
μ(z)|∑mi=j(ui(z)Bi,j(φ(z)))|(1−|φ(z)|2)γ+n+1p+j[log(1−1log|φ(z)|)]−δp<ε. | (4.25) |
Assume that {fs} is a sequence such that sups∈N‖fs‖Apwγ,δ≤M<+∞ and fs→0 uniformly on any compact subset of B as s→∞. Then by Theorem 3.1, Theorem 3.2 and (4.22)–(4.25), one has that
‖Sm→u,φfs‖H∞μ(B)=supz∈Bμ(z)|u0(z)f(φ(z))+m∑i=1ui(z)ℜif(φ(z))|=supz∈Kμ(z)|u0(z)f(φ(z))+m∑i=1ui(z)ℜif(φ(z))|+supz∈B∖Kμ(z)|u0(z)f(φ(z))+m∑i=1ui(z)ℜif(φ(z))|≲supz∈Kμ(z)|u0(z)|(1−|φ(z)|2)γ+n+1p[log(1−1log|φ(z)|)]−δp‖fs‖Apwγ,δ+supz∈Kμ(z)|∑mi=j(ui(z)Bi,j(φ(z)))|(1−|φ(z)|2)γ+n+1p+j[log(1−1log|φ(z)|)]−δp‖fs‖Apwγ,δ+supz∈B∖Kμ(z)|u0(z)||fs(φ(z))|+supz∈B∖Km∑j=1μ(z)|m∑i=j(ui(z)Bi,j(φ(z)))|max{l1,l2,…,lj}|∂jfs∂zl1∂zl2⋯∂zlj(φ(z))|≤Mε+Csup|w|≤δm∑j=0max{l1,l2,…,lj}|∂jfs∂zl1∂zl2⋯∂zlj(w)|. | (4.26) |
Since fs→0 uniformly on any compact subset of B as s→∞. By Cauchy's estimates, we also have that ∂jfs∂zl1∂zl2⋯∂zlj→0 uniformly on any compact subset of B as s→∞. From this and using the fact that {w∈B:|w|≤δ} is a compact subset of B, by letting s→∞ in inequality (4.26), one get that
lim sups→∞‖Sm→u,φfs‖H∞μ≲ε. |
Since ε is an arbitrary positive number, it follows that
lims→∞‖Sm→u,φfs‖H∞μ=0. |
By Lemma 4.1, the operator Sm→u,φ:Apwγ,δ→H∞μ is compact.
As before, we also have the following result.
Corollary 4.2. Let m∈N, u∈H(B), φ∈S(B) and μ is a weight function on B. Then, the operators CφℜmMu:Apwγ,δ→H∞μ is compact if and only if the operator CφℜmMu:Apwγ,δ→H∞μ is bounded,
lim|φ(z)|→1μ(z)|ℜmu∘φ(z)|(1−|φ(z)|2)γ+n+1p[log(1−1log|φ(z)|)]−δp=0 |
and
lim|φ(z)|→1μ(z)|∑mi=j(ℜm−iu∘φ(z)Bi,j(φ(z))|(1−|φ(z)|2)γ+n+1p+j[log(1−1log|φ(z)|)]−δp=0 |
for j=¯1,m.
In this paper, we study and obtain some properties about the logarithmic Bergman-type space on the unit ball. As some applications, we completely characterized the boundedness and compactness of the operator
Sm→u,φ=m∑i=0MuiCφℜi |
from the logarithmic Bergman-type space to the weighted-type space on the unit ball. Here, one thing should be pointed out is that we use a new method and technique to characterize the boundedness of such operators without the condition (1.5), which perhaps is the special flavour in this paper.
The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.
This work was supported by Sichuan Science and Technology Program (2022ZYD0010) and the Graduate Student Innovation Foundation (Y2022193).
The authors declare that they have no competing interests.
[1] |
M. A. Spyrou, R. I. Tukhbatova, M. Feldman, J. Drath, S. Kacki, J. B. de Heredia, et al., Historical y. pestis genomes reveal the european black death as the source of ancient and modern plague pandemics, Cell Host Microbe, 19 (2016), 874–881. https://doi.org/10.1016/j.chom.2016.05.012 doi: 10.1016/j.chom.2016.05.012
![]() |
[2] | A. G. Buseh, P. E. Stevens, M. Bromberg, S. T. Kelber, The ebola epidemic in west africa: Challenges, opportunities, and policy priority areas, Nurs. Outlook, 63 (2015), 30–40. https://doi.org/10.1016/j.outlook.2014.12.013 |
[3] |
W. J. Xing, G. Hejblum, G. M. Leung, A. J. Valleron, Anatomy of the epidemiological literature on the 2003 SARS outbreaks in Hong Kong and Toronto: A time-stratified review, PLos Med., 7 (2010), 11. https://doi.org/10.1371/journal.pmed.1000272 doi: 10.1371/journal.pmed.1000272
![]() |
[4] |
S. Taylor, C. A. Landry, M. M. Paluszek, T. A. Fergus, D. McKay, G. J. G. Asmundson, COVID stress syndrome: Concept, structure, and correlates, Depress. Anxiety, 37 (2020), 706–714. https://doi.org/10.1002/da.23071 doi: 10.1002/da.23071
![]() |
[5] |
M. Nicola, Z. Alsafi, C. Sohrabi, A. Kerwan, A. Al-Jabir, C. Iosifidis, et al., The socio-economic implications of the coronavirus pandemic (COVID-19): A review, Int. Surg. J., 78 (2020), 185–193. https://doi.org/10.1016/j.ijsu.2020.04.018 doi: 10.1016/j.ijsu.2020.04.018
![]() |
[6] |
M. Lawson, M. H. Piel, M. Simon, Child maltreatment during the COVID-19 pandemic: Consequences of parental job loss on psychological and physical abuse towards children, Child Abuse Negl., 110 (2020), 104709. https://doi.org/10.1016/j.chiabu.2020.104709 doi: 10.1016/j.chiabu.2020.104709
![]() |
[7] |
J. Qiu, B. Shen, M. Zhao, Z. Wang, B. Xie, Y. Xu, A nationwide survey of psychological distress among chinese people in the COVID-19 epidemic: Implications and policy recommendations, Gen. Psychiatr., 33 (2020), 61–63. https://doi.org/10.1136/gpsych-2020-100213 doi: 10.1136/gpsych-2020-100213
![]() |
[8] | N. A. Omar, M. A. Nazri, M. H. Ali, S. S. Alam, The panic buying behavior of consumers during the COVID-19 pandemic: Examining the influences of uncertainty, perceptions of severity, perceptions of scarcity, and anxiety, J. Retail. Consum. Serv., 62 (2021), 102600. https://doi.org/10.1016/j.jretconser.2021.102600 |
[9] |
K. F. Yuen, X. Q. Wang, F. Ma, K. X. Li, The psychological causes of panic buying following a health crisis, Int. J. Environ. Res. Public Health, 17 (2020), 3513. https://doi.org/10.3390/ijerph17103513 doi: 10.3390/ijerph17103513
![]() |
[10] |
T. Engstrom, D. O. Baliunas, B. P. Sly, A. W. Russell, P. J. Donovan, H. K. Krausse, et al., Toilet paper, minced meat and diabetes medicines: Australian panic buying induced by COVID-19, Int. J. Environ. Res. Public Health, 18 (2021), 6954. https://doi.org/10.3390/ijerph18136954 doi: 10.3390/ijerph18136954
![]() |
[11] |
S. Taylor, Understanding and managing pandemic-related panic buying, J. Anxiety Disord., 78 (2021), 102364. https://doi.org/10.1016/j.janxdis.2021.102364 doi: 10.1016/j.janxdis.2021.102364
![]() |
[12] |
Y. C. Tsao, P. Raj, V. Yu, Product substitution in different weights and brands considering customer segmentation and panic buying behavior, Ind. Mark. Manage., 77 (2019), 209–220. https://doi.org/10.1016/j.indmarman.2018.09.004 doi: 10.1016/j.indmarman.2018.09.004
![]() |
[13] |
C. Prentice, M. Nguyen, P. Nandy, M. A. Winardi, Y. Chen, L. Le Monkhouse, et al., Relevant, or irrelevant, external factors in panic buying, J. Retail. Consum. Serv., 61 (2021), 102587. https://doi.org/10.1016/j.jretconser.2021.102587 doi: 10.1016/j.jretconser.2021.102587
![]() |
[14] |
A. R. Ahmad, H. R. Murad, The impact of social media on panic during the COVID-19 pandemic in Iraqi Kurdistan: Online questionnaire study, J. Med. Int. Res., 22 (2020), e19556. https://doi.org/10.2196/19556 doi: 10.2196/19556
![]() |
[15] |
K. F. Yuen, J. Z. E. Leong, Y. D. Wong, X. Q. Wang, Panic buying during COVID-19: Survival psychology and needs perspectives in deprived environments, Int. J. Disaster Risk Reduct., 62 (2021), 102421. https://doi.org/10.1016/j.ijdrr.2021.102421 doi: 10.1016/j.ijdrr.2021.102421
![]() |
[16] |
S. M. Y. Arafat, S. K. Kar, V. Menon, A. Alradie-Mohamed, S. Mukherjee, C. Kaliamoorthy, et al., Responsible factors of panic buying: An observation from online media reports, Front. Pub. Health, 8 (2020), 603894. https://doi.org/10.3389/fpubh.2020.603894 doi: 10.3389/fpubh.2020.603894
![]() |
[17] |
R. Lavuri, D. Jaiswal, P. Thaichon, Extrinsic and intrinsic motives: Panic buying and impulsive buying during a pandemic, Int. J. Retail Distrib. Manag., 51 (2023), 190–204. https://doi.org/10.1108/IJRDM-01-2022-0010 doi: 10.1108/IJRDM-01-2022-0010
![]() |
[18] |
R. Hamilton, D. Thompson, S. Bone, L. N. Chaplin, V. Griskevicius, K. Goldsmith, et al., The effects of scarcity on consumer decision journeys, J. Acad. Mark. Sci, 47 (2019), 532–550. https://doi.org/10.1007/s11747-018-0604-7 doi: 10.1007/s11747-018-0604-7
![]() |
[19] |
H. L. Huang, S. Q. Liu, J. Kandampully, M. Bujisic, Consumer responses to scarcity appeals in online booking, Ann. Touris. Res., 80 (2020), 102800. https://doi.org/10.1016/j.annals.2019.102800 doi: 10.1016/j.annals.2019.102800
![]() |
[20] |
T. Islam, A. H. Pitafi, V. Arya, Y. Wang, N. Akhtar, S. Mubarik, et al., Panic buying in the COVID-19 pandemic: A multi-country examination, J. Retail. Consum. Serv., 59 (2021), 102357. https://doi.org/10.1016/j.jretconser.2020.102357 doi: 10.1016/j.jretconser.2020.102357
![]() |
[21] |
C. Blocker, J. Z. Zhang, R. P. Hill, C. Roux, C. Corus, M. Hutton, et al., Rethinking scarcity and poverty: Building bridges for shared insight and impact, J. Consum. Psychol., 33 (2023), 489–509. https://doi.org/10.1002/jcpy.1323 doi: 10.1002/jcpy.1323
![]() |
[22] |
T. G. Chen, Y. M. Jin, J. J. Yang, G. D. Cong, Identifying emergence process of group panic buying behavior under the COVID-19 pandemic, J. Retail. Consum. Serv., 67 (2022), 102970. https://doi.org/10.1016/j.jretconser.2022.102970 doi: 10.1016/j.jretconser.2022.102970
![]() |
[23] |
M. Naeem, Do social media platforms develop consumer panic buying during the fear of COVID-19 pandemic, J. Retail. Consum. Serv., 58 (2021), 10. https://doi.org/10.1016/j.jretconser.2020.102226 doi: 10.1016/j.jretconser.2020.102226
![]() |
[24] |
R. Zheng, B. Shou, J. Yang, Supply disruption management under consumer panic buying and social learning effects, Omega-Int. J. Manage. Sci., 101 (2021), 102238. https://doi.org/10.1016/j.omega.2020.102238 doi: 10.1016/j.omega.2020.102238
![]() |
[25] |
S. Billore, T. Anisimova, Panic buying research: A systematic literature review and future research agenda, Int. J. Consum. Stud., 45 (2021), 777–804. https://doi.org/10.1111/ijcs.12669 doi: 10.1111/ijcs.12669
![]() |
[26] |
E. J. de Bruijn, G. Antonides, Poverty and economic decision making: A review of scarcity theory, Theory Decis., 92 (2022), 5–37. https://doi.org/10.1007/s11238-021-09802-7 doi: 10.1007/s11238-021-09802-7
![]() |
[27] |
X. H. Shi, F. Li, P. Chumnumpan, The use of product scarcity in marketing, Eur. J. Market., 54 (2020), 380–418. https://doi.org/10.1108/EJM-04-2018-0285 doi: 10.1108/EJM-04-2018-0285
![]() |
[28] |
L. Mittone, L. Savadori, The scarcity Bias, Appl. Psychol., 58 (2009), 453–468. https://doi.org/10.1111/j.1464-0597.2009.00401.x doi: 10.1111/j.1464-0597.2009.00401.x
![]() |
[29] |
V. A. Zeithaml, Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence, J. Mark., 52 (1988), 2–22. https://doi.org/10.1177/002224298805200302 doi: 10.1177/002224298805200302
![]() |
[30] |
R. G. Cooper, The new product process: A decision guide for management, J. Mark. Manag., 3 (1988), 238–255. https://doi.org/10.1080/0267257X.1988.9964044 doi: 10.1080/0267257X.1988.9964044
![]() |
[31] | T. C. Brock, Implications of commodity theory for value change, in Psychological foundations of attitudes, (eds. A. G. Greenwald, T. C. Brock and T. M. Ostrom), Academic Press, (1968), 243–275. https://doi.org/10.1016/B978-1-4832-3071-9.50016-7 |
[32] |
S. Y. Lee, R. Seidle, Narcissists as consumers: The effects of perceived scarcity on processing of product information, Soc. Behav. Pers., 40 (2012), 1485–1499. https://doi.org/10.2224/sbp.2012.40.9.1485 doi: 10.2224/sbp.2012.40.9.1485
![]() |
[33] |
Q. H. Mao, J. X. Hou, P. Z. Xie, Dynamic impact of the perceived value of public on panic buying behavior during COVID-19, Sustainability, 14 (2022), 4874. https://doi.org/10.3390/su14094874 doi: 10.3390/su14094874
![]() |
[34] | P. G. Patterson, R. A. Spreng, Modelling the relationship between perceived value, satisfaction and repurchase intentions in a business‐to‐business, services context: An empirical examination, Int. J. Serv. Ind. Manag., 8 (1997), 414–434. https://doi.org/10.1108/09564239710189835 |
[35] | D. Jeong, E. Ko, The influence of consumers' self-concept and perceived value on sustainable fashion, J. Glob. Sch. Mark. Sci. 31 (2021), 511–525. https://doi.org/10.1080/21639159.2021.1885303 |
[36] |
S. Molinillo, R. Aguilar-Illescas, R. Anaya-Sanchez, F. Liebana-Cabanillas, Social commerce website design, perceived value and loyalty behavior intentions: The moderating roles of gender, age and frequency of use, J. Retail. Consum. Serv., 63 (2021), 13. https://doi.org/10.1016/j.jretconser.2020.102404 doi: 10.1016/j.jretconser.2020.102404
![]() |
[37] |
K. Sim, H. C. Chua, E. Vieta, G. Fernandez, The anatomy of panic buying related to the current COVID-19 pandemic, Psychiatry Res., 288 (2020), 113015. https://doi.org/10.1016/j.psychres.2020.113015 doi: 10.1016/j.psychres.2020.113015
![]() |
[38] | B. M. S. Nichols, Exploring And Explaining Consumer Competition: A Mixed-Methods Approach To Understanding The Phenomenon, Ph.D thesis, University of Tennessee, 2010. |
[39] |
M. L. Richins, Special possessions and the expression of material values, J. Consum. Res., 21 (1994), 522–533. https://doi.org/10.1086/209415 doi: 10.1086/209415
![]() |
[40] |
B. S. Nichols, The development, validation, and implications of a measure of consumer competitive arousal (CCAr), J. Econ. Psychol., 33 (2012), 192–205. https://doi.org/10.1016/j.joep.2011.10.002 doi: 10.1016/j.joep.2011.10.002
![]() |
[41] |
G. Singh, A. S. Aiyub, T. Greig, S. Naidu, A. Sewak, S. Sharma, Exploring panic buying behavior during the COVID-19 pandemic: A developing country perspective, Int. J. Emerg. Mark., 18 (2021), 1587–1613. https://doi.org/10.1108/IJOEM-03-2021-0308 doi: 10.1108/IJOEM-03-2021-0308
![]() |
[42] |
S. Gupta, J. W. Gentry, "Should I buy, hoard, or hide?"-Consumers' responses to perceived scarcity, Int. Rev. Retail. Distrib. Consum. Res., 29 (2019), 178–197. https://doi.org/10.1080/09593969.2018.1562955 doi: 10.1080/09593969.2018.1562955
![]() |
[43] |
P. Aggarwal, S. Y. Jun, J. H. Huh, Scarcity messages, J. Advert., 40 (2011), 19–30. https://doi.org/10.2753/JOA0091-3367400302 doi: 10.2753/JOA0091-3367400302
![]() |
[44] |
D. ÇInar, Panic buying and in-store hoarding in the COVID-19 period: An assessment based on the scarcity principle, Business Manag. Studies: Int. J., 8 (2020), 3867–3890. https://doi.org/10.15295/bmij.v8i5.1616 doi: 10.15295/bmij.v8i5.1616
![]() |
[45] | W. E. Craighead, A. E. Kazdin, M. J. Mahoney, Behavior Modification: Principles, Issues, And Applications, Houghton Mifflin, Boston, 1976. |
[46] |
J. Santabarbara, I. Lasheras, D. M. Lipnicki, J. Bueno-Notivol, M. Perez-Moreno, R. Lopez-Anton, et al., Prevalence of anxiety in the COVID-19 pandemic: An updated meta-analysis of community-based studies, Prog. Neuro-Psychopharmacol. Biol. Psychiatry, 109 (2021), 110207. https://doi.org/10.1016/j.pnpbp.2020.110207 doi: 10.1016/j.pnpbp.2020.110207
![]() |
[47] |
M. Marvaldi, J. Mallet, C. Dubertret, M. R. Moro, S. B. Guessoum, Anxiety, depression, trauma-related, and sleep disorders among healthcare workers during the COVID-19 pandemic: A systematic review and meta-analysis, Neurosci. Biobehav. Rev., 126 (2021), 252–264. https://doi.org/10.1016/j.neubiorev.2021.03.024 doi: 10.1016/j.neubiorev.2021.03.024
![]() |
[48] |
J. D. Sterman, G. Dogan, "I'm not hoarding, I'm just stocking up before the hoarders get here.", J. Oper. Manag., 39 (2015), 6–22. https://doi.org/10.1016/j.jom.2015.07.002 doi: 10.1016/j.jom.2015.07.002
![]() |
[49] |
C. E. Gallagher, M. C. Watt, A. D. Weaver, K. A. Murphy, "I fear, therefore, I shop!" exploring anxiety sensitivity in relation to compulsive buying, Pers. Individ. Differ., 104 (2017), 37–42. https://doi.org/10.1016/j.paid.2016.07.023 doi: 10.1016/j.paid.2016.07.023
![]() |
[50] |
H. Latan, C. J. C. Jabbour, A. Jabbour, S. F. Wamba, M. Shahbaz, Effects of environmental strategy, environmental uncertainty and top management's commitment on corporate environmental performance: The role of environmental management accounting, J. Clean Prod., 180 (2018), 297–306. https://doi.org/10.1016/j.jclepro.2018.01.106 doi: 10.1016/j.jclepro.2018.01.106
![]() |
[51] |
E. C. Anderson, R. N. Carleton, M. Diefenbach, P. K. J. Han, The relationship between uncertainty and affect, Front. Psychol., 10 (2019), 2504. https://doi.org/10.3389/fpsyg.2019.02504 doi: 10.3389/fpsyg.2019.02504
![]() |
[52] |
R. Wiedmer, J. M. Whipple, Perceptions of resource scarcity in factor markets: The effect on managerial attention and collaboration, J. Bus. Logist., 43 (2022), 421–447. https://doi.org/10.1111/jbl.12295 doi: 10.1111/jbl.12295
![]() |
[53] |
E. Satomi, P. M. R. d. Souza, B. d. C. Thome, C. Reingenheim, E. Werebe, E. J. Troster, et al., Fair allocation of scarce medical resources during COVID-19 pandemic: Ethical considerations, Einstein, 18 (2020), eAE5775. https://doi.org/10.31744/einstein_journal/2020AE5775 doi: 10.31744/einstein_journal/2020AE5775
![]() |
[54] |
T. Xu, U. Sattar, Conceptualizing COVID-19 and public panic with the moderating role of media use and uncertainty in China: An empirical framework, Healthcare, 8 (2020), 249. https://doi.org/10.3390/healthcare8030249 doi: 10.3390/healthcare8030249
![]() |
[55] | L. R. Xie, J. M. Chen, M. Q. Zhang, Research on panic purchase's behavior mechanism, Innovation Manage., (2012), 1332–1335. |
[56] | A. R. A. Aljanabi, The impact of economic policy uncertainty, news framing and information overload on panic buying behavior in the time of COVID-19: A conceptual exploration, Int. J. Emerg. Mark., 18 (2021), 1614–1631. https://doi.org/10.1108/IJOEM-10-2020-1181 |
[57] |
T. E. Dickins, S. Schalz, Food shopping under risk and uncertainty, Learn. Motiv., 72 (2020), 101681. https://doi.org/10.1016/j.lmot.2020.101681 doi: 10.1016/j.lmot.2020.101681
![]() |
[58] |
N. Chung, S. J. Kwon, Effect of trust level on mobile banking satisfaction: A multi-group analysis of information system success instruments, Behav. Inf. Technol., 28 (2009), 549–562. https://doi.org/10.1080/01449290802506562 doi: 10.1080/01449290802506562
![]() |
[59] |
Q. Han, B. Zheng, M. Cristea, M. Agostini, J. J. Belanger, B. Gutzkow, et al., Trust in government regarding COVID-19 and its associations with preventive health behaviour and prosocial behaviour during the pandemic: A cross-sectional and longitudinal study, Psychol. Med., 53 (2023), 149–159. https://doi.org/10.1017/S0033291721001306 doi: 10.1017/S0033291721001306
![]() |
[60] |
L. S. Lau, G. Samari, R. T. Moresky, S. E. Casey, S. P. Kachur, L. F. Roberts, et al., COVID-19 in humanitarian settings and lessons learned from past epidemics, Nat. Med., 26 (2020), 647–648. https://doi.org/10.1038/s41591-020-0851-2 doi: 10.1038/s41591-020-0851-2
![]() |
[61] |
C. M. L. Wong, O. Jensen, The paradox of trust: Perceived risk and public compliance during the COVID-19 pandemic in Singapore, J. Risk Res., 23 (2020), 1021–1030. https://doi.org/10.1080/13669877.2020.1756386 doi: 10.1080/13669877.2020.1756386
![]() |
[62] |
G. Prati, L. Pietrantoni, B. Zani, Compliance with recommendations for pandemic influenza H1N1 2009: The role of trust and personal beliefs, Health Educ. Res., 26 (2011), 761–769. https://doi.org/10.1093/her/cyr035 doi: 10.1093/her/cyr035
![]() |
[63] |
M. Jezewska-Zychowicz, M. Plichta, M. Krolak, Consumers' fears regarding food availability and purchasing behaviors during the COVID-19 pandemic: The importance of trust and perceived stress, Nutrients, 12 (2020), 2852. https://doi.org/10.3390/nu12092852 doi: 10.3390/nu12092852
![]() |
[64] |
M. Burri, R. Polanco, Digital trade provisions in preferential trade agreements: Introducing a new dataset, J. Int. Econ. Law, 23 (2020), 187–220. https://doi.org/10.1093/jiel/jgz044 doi: 10.1093/jiel/jgz044
![]() |
[65] |
W. W. Chin, B. L. Marcolin, P. R. Newsted, A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study, Inf. Syst. Res., 14 (2003), 189–217. https://doi.org/10.1287/isre.14.2.189.16018 doi: 10.1287/isre.14.2.189.16018
![]() |
[66] |
J. F. Hair, M. Sarstedt, C. M. Ringle, J. A. Mena, An assessment of the use of partial least squares structural equation modeling in marketing research, J. Acad. Mark. Sci., 40 (2012), 414–433. https://doi.org/10.1007/s11747-011-0261-6 doi: 10.1007/s11747-011-0261-6
![]() |
[67] |
J. F. Hair, C. M. Ringle, M. Sarstedt, PLS-SEM: Indeed a silver bullet, J. Mark. Theory Pract., 19 (2011), 139–152. https://doi.org/10.2753/MTP1069-6679190202 doi: 10.2753/MTP1069-6679190202
![]() |
[68] |
J. F. Hair, J. J. Risher, M. Sarstedt, C. M. Ringle, When to use and how to report the results of PLS-SEM, Eur. Bus. Rev., 31 (2019), 2–24. https://doi.org/10.1108/EBR-11-2018-0203 doi: 10.1108/EBR-11-2018-0203
![]() |
[69] | S. E. Byun, B. Sternquist, Fast fashion and in-store hoarding: The drivers, moderator, and consequences, Cloth. Text. Res. J., 29 (2011), 187–201. https://doi.org/10.1177/0887302X11411709 |
[70] |
H. Han, B. L. Chua, S. S. Hyun, Consumers' intention to adopt eco-friendly electric airplanes: The moderating role of perceived uncertainty of outcomes and attachment to eco-friendly products, Int. J. Sustain. Transp., 14 (2020), 671–685. https://doi.org/10.1080/15568318.2019.1607957 doi: 10.1080/15568318.2019.1607957
![]() |
[71] |
D. Roy, S. Tripathy, S. K. Kar, N. Sharma, S. K. Verma, V. Kaushal, Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic, Asian J. Psychiatr., 51 (2020), 102083. https://doi.org/10.1016/j.ajp.2020.102083 doi: 10.1016/j.ajp.2020.102083
![]() |
[72] | C. K. Lee, Y. S. Yoon, S. K. Lee, Investigating the relationships among perceived value, satisfaction, and recommendations: The case of the Korean DMZ, Tour. Manag., 28 (2007), 204–214. https://doi.org/10.1016/j.tourman.2005.12.017 |
[73] |
M. S. Shanka, M. M. Menebo, When and how trust in government leads to compliance with COVID-19 precautionary measures, J. Bus. Res., 139 (2022), 1275–1283. https://doi.org/10.1016/j.jbusres.2021.10.036 doi: 10.1016/j.jbusres.2021.10.036
![]() |
1. | Hafiz Muhammad Fraz, Kashif Ali, Muhammad Faisal Nadeem, Entropy measures of silicon nanotubes using degree based topological indices, 2025, 100, 0031-8949, 015202, 10.1088/1402-4896/ad94b4 | |
2. | Pranavi Jaina, K. Anil Kumar, J. Vijayasekhar, Application of Zagreb Index Models in Predicting the Physicochemical Properties of Unsaturated Fatty Acids, 2025, 41, 22315039, 201, 10.13005/ojc/410124 |