Research article Special Issues

From trust and dependence commitment to B2B engagement: An empirical analysis of inter-organizational cooperation in FMCG

  • Received: 06 September 2023 Revised: 16 November 2023 Accepted: 22 November 2023 Published: 28 November 2023
  • This research paper aims to demonstrate that relationships play a pivotal role in fostering inter-organizational cooperation, both at the corporate and individual levels, within the fast-moving consumer goods (FMCG) distribution industry. Despite the extensive body of literature on relationship management, its impact on such a unique and important channel as FMCG remains undetermined. To achieve this objective, we designed a questionnaire for a survey targeting Spanish FMCG distributors, from which we collected 204 responses. We analyzed this data using partial least squares structural equation modeling (PLS-SEM), an emerging methodology in business research that enables us to assess the model's explanatory power and predictive capacity in understanding the relationships between various constructs. Our findings indicate the efficacy of governing inter-organizational relationships to facilitate cooperation. Additionally, we uncover links between corporate and individual relationships that contribute significantly to cooperation. In terms of practical implications for businesses, our results emphasize the importance for managers to prioritize relationships as an integral aspect of efficient channel management. This pertains to relationships within the distribution channel among partners and also individual relationships among business managers. Notably, the existing academic literature has not yet established the effectiveness of relationships in governing channels within the FMCG marketing channel, nor has it established a direct connection between inter-organizational and individual relationships among business managers.

    Citation: Fernando Gimeno-Arias, José Manuel Santos-Jaén, María del Carmen Valls Martínez, Manuel Sánchez-Pérez. From trust and dependence commitment to B2B engagement: An empirical analysis of inter-organizational cooperation in FMCG[J]. Electronic Research Archive, 2023, 31(12): 7511-7543. doi: 10.3934/era.2023379

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  • This research paper aims to demonstrate that relationships play a pivotal role in fostering inter-organizational cooperation, both at the corporate and individual levels, within the fast-moving consumer goods (FMCG) distribution industry. Despite the extensive body of literature on relationship management, its impact on such a unique and important channel as FMCG remains undetermined. To achieve this objective, we designed a questionnaire for a survey targeting Spanish FMCG distributors, from which we collected 204 responses. We analyzed this data using partial least squares structural equation modeling (PLS-SEM), an emerging methodology in business research that enables us to assess the model's explanatory power and predictive capacity in understanding the relationships between various constructs. Our findings indicate the efficacy of governing inter-organizational relationships to facilitate cooperation. Additionally, we uncover links between corporate and individual relationships that contribute significantly to cooperation. In terms of practical implications for businesses, our results emphasize the importance for managers to prioritize relationships as an integral aspect of efficient channel management. This pertains to relationships within the distribution channel among partners and also individual relationships among business managers. Notably, the existing academic literature has not yet established the effectiveness of relationships in governing channels within the FMCG marketing channel, nor has it established a direct connection between inter-organizational and individual relationships among business managers.



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    [1] R. S. Achrol, Changes in the theory of interorganizational relations in marketing: Toward a Network Paradigm, J. Acad. Mark. Sci., 25 (1996), 56–71. https://doi.org/10.1177/0092070397251006 doi: 10.1177/0092070397251006
    [2] R. S. Achrol, P. Kotler, Marketing in the network economy, J. Mark., 63 (1999), 146–163. https://doi.org/10.1177/00222429990634s114 doi: 10.1177/00222429990634s114
    [3] E. Anderson, B. Weitz, The use of pledges to build and sustain commitment in distribution channels, J. Mark. Res., 29 (1992), 18–34. https://doi.org/10.1177/002224379202900103 doi: 10.1177/002224379202900103
    [4] A. Kumar, J. B. Heide, K. H. Wathne, Performance implications of mismatched governance regimes across external and internal relationships, J. Mark., 75 (2011), 1–17. https://doi.org/10.1509/jm.75.2.1 doi: 10.1509/jm.75.2.1
    [5] R. M. Morgan, S. D. Hunt, The commitment-trust theory of relationship marketing, J. Mark., 58 (1994), 20–38. https://doi.org/10.1177/002224299405800302 doi: 10.1177/002224299405800302
    [6] R. W. Palmatier, Interfirm relational drivers of customer value, J. Mark., 72 (2008), 76–89. https://doi.org/10.1509/jmkg.72.4.076 doi: 10.1509/jmkg.72.4.076
    [7] G. F. Watson, S. Worm, R. W. Palmatier, S. Ganesan, The evolution of marketing channels: Trends and research directions, J. Retail., 91 (2015), 546–568. https://doi.org/10.1016/j.jretai.2015.04.002 doi: 10.1016/j.jretai.2015.04.002
    [8] J. R. Brown, J. L. Crosno, P. Y. Tong, Is the theory of trust and commitment in marketing relationships incomplete?, Ind. Mark. Manag., 77 (2019), 155–169. https://doi.org/10.1016/j.indmarman.2018.10.005 doi: 10.1016/j.indmarman.2018.10.005
    [9] I. V. Kozlenkova, G. T. M. Hult, D. J. Lund, J. A. Mena, P. Kekec, The role of marketing channels in supply chain management, J. Retail., 91 (2015), 586–609. https://doi.org/10.1016/j.jretai.2015.03.003 doi: 10.1016/j.jretai.2015.03.003
    [10] G. L. Frazier, Organizing and managing channels of distribution, J. Acad. Mark. Sci., 27 (1999), 226–240. https://doi.org/10.1177/0092070399272007 doi: 10.1177/0092070399272007
    [11] F. Gimeno-Arias, J. M. Santos-Jaén, Using PLS-SEM for assessing negative impact and cooperation as antecedents of gray market in FMCG supply chains: An analysis on Spanish wholesale distributors, Int. J. Phys. Distrib. Logist. Manag., 53 (2023), 718–742. https://doi.org/10.1108/IJPDLM-02-2022-0038 doi: 10.1108/IJPDLM-02-2022-0038
    [12] S. S. Andaleeb, An experimental investigation of satisfaction and commitment in marketing channels: The role of trust and dependence, J. Retail., 72 (1996), 77–93. https://doi.org/10.1016/S0022-4359(96)90006-8 doi: 10.1016/S0022-4359(96)90006-8
    [13] N. Sharma, L. C. Young, I. Wilkinson, The nature and role of different types of commitment in inter-firm relationship cooperation, J. Bus. Ind. Mark., 30 (2015), 45–59. https://doi.org/10.1108/JBIM-11-2012-0202 doi: 10.1108/JBIM-11-2012-0202
    [14] T. Suh, J. C. Jung, G. M. Zank, R. J. Arend, Twofold relationship dynamics of supplier's knowledge sharing, J. Bus. Ind. Mark., 34 (2019), 862–874. https://doi.org/10.1108/JBIM-10-2017-0241 doi: 10.1108/JBIM-10-2017-0241
    [15] A. S. Vinhas, R. Gibbs, Exclusive dealing without territory exclusivity in multichannel systems: Managing channel conflict and driving commitment, Mark. Lett., 29 (2018), 291–305. https://doi.org/10.1007/s11002-018-9462-9 doi: 10.1007/s11002-018-9462-9
    [16] L. Wang, C. Zhang, J. Li, D. Huo, X. Fan, The influence of unilateral supplier transaction-specific investments on international buyer opportunism: empirical findings from local suppliers in China, Int. Mark. Rev., 37 (2020), 213–239. https://doi.org/10.1108/IMR-05-2018-0177 doi: 10.1108/IMR-05-2018-0177
    [17] M. Du, J. Zhang, Encouraging customer participation by leveraging interdependence structure and relationship commitments: empirical evidence from chinese industrial firms, Int. J. Bus. Inf., 12 (2017), 433–477.
    [18] F. R. Dwyer, P. H. Schurr, S. Oh, Developing buyer-seller relationships, J. Mark., 51 (1987), 11–27. https://doi.org/10.1177/002224298705100202 doi: 10.1177/002224298705100202
    [19] C. Ferro, C. Padin, G. Svensson, J. Payan, Trust and commitment as mediators between economic and non-economic satisfaction in manufacturer-supplier relationships, J. Bus. Ind. Mark., 31 (2016), 13–23. https://doi.org/10.1108/JBIM-07-2013-0154 doi: 10.1108/JBIM-07-2013-0154
    [20] I. Geyskens, J. B. Steenkamp, L. K. Scheer, N. Kumar, The effects of trust and interdependence on relationship commitment: A trans-Atlantic study, Int. J. Res. Mark., 13 (1996), 303–317. https://doi.org/10.1016/S0167-8116(96)00006-7 doi: 10.1016/S0167-8116(96)00006-7
    [21] D. I. Gilliland, D. C. Bello, Two sides to attitudinal commitment: The effect of calculative and loyalty commitment on enforcement mechanisms in distribution channels, J. Acad. Mark. Sci., 30 (2002), 24–43. https://doi.org/10.1177/03079450094306 doi: 10.1177/03079450094306
    [22] N. Kumar, L. K. Scheer, J. B. Steenkamp, The effects of perceived interdependence on dealer attitudes, J. Mark. Res., 32 (1995), 348–356. https://doi.org/10.1177/002224379503200309 doi: 10.1177/002224379503200309
    [23] M. Mpinganjira, M. Roberts-Lombard, G. Svensson, Validating the relationship between trust, commitment, economic and non-economic satisfaction in South African buyer-supplier relationships, J. Bus. Ind. Mark., 32 (2017), 421–431. https://doi.org/10.1108/JBIM-04-2015-0073 doi: 10.1108/JBIM-04-2015-0073
    [24] N. Ponder, B. B. Holloway, J. D. Hansen, The mediating effects of customers' intimacy perceptions on the trust-commitment relationship, J. Serv. Mark., 30 (2016), 75–87. https://doi.org/10.1108/JSM-04-2014-0117 doi: 10.1108/JSM-04-2014-0117
    [25] W. J. Johnston, A. N. H. Le, J. M. S. Cheng, A meta-analytic review of influence strategies in marketing channel relationships, J. Acad. Mark. Sci., 46 (2018), 674–702. https://doi.org/10.1007/s11747-017-0564-3 doi: 10.1007/s11747-017-0564-3
    [26] W. J. Reinartz, M. Berkmann, From customer to partner engagement: a conceptualization and typology of engagement in B2B, Customer Engagement Mark., (2018), 243–268. https://doi.org/10.1007/978-3-319-61985-9_11 doi: 10.1007/978-3-319-61985-9_11
    [27] V. Kumar, A. Pansari, Competitive advantage through engagement, J. Mark. Res., 53 (2016), 497–514. https://doi.org/10.1509/jmr.15.0044 doi: 10.1509/jmr.15.0044
    [28] S. Sands, C. Campbell, C. Ferraro, K. Plangger, Buffering B2B service failure: The role of customer engagement, Ind. Mark. Manag., 103 (2022), 47–60. https://doi.org/10.1016/j.indmarman.2022.03.007 doi: 10.1016/j.indmarman.2022.03.007
    [29] S. D. Vivek, V. Dalela, M. S. Ahmed, A framework for partner engagement: Episodes in the life of interorganizational partnerships, J. Mark. Theory Pract., 30 (2022), 476–493. https://doi.org/10.1080/10696679.2021.191639898 doi: 10.1080/10696679.2021.1916398
    [30] M. W. Nyadzayo, R. Casidy, P. Thaichon, B2B purchase engagement: Examining the key drivers and outcomes in professional services, Ind. Mark. Manag., 85 (2020), 197–208. https://doi.org/10.1016/j.indmarman.2019.11.007 doi: 10.1016/j.indmarman.2019.11.007
    [31] M. Kleinaltenkamp, I. O. Karpen, C. Plewa, E. Jaakkola, J. Conduit, Collective engagement in organizational settings, Ind. Mark. Manag., 80 (2019), 11–23. https://doi.org/10.1016/j.indmarman.2019.02.009 doi: 10.1016/j.indmarman.2019.02.009
    [32] J. F. Hair, M. Sarstedt, L. Hopkins, V. G. Kuppelwieser, Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research, Eur. Bus. Rev., 26 (2014), 106–121. https://doi.org/10.1108/EBR-10-2013-0128 doi: 10.1108/EBR-10-2013-0128
    [33] J. M. Santos-Jaén, A. León-Gómez, M. del C. Valls Martínez, F. Gimeno-Arias, The effect of public healthcare expenditure on the reduction in mortality rates caused by unhealthy habits among the population, Healthcare, 10 (2022), 2253. https://doi.org/10.3390/healthcare10112253 doi: 10.3390/healthcare10112253
    [34] M. Martínez Ávila, E. Fierro Moreno, Aplicación de la técnica PLS-SEM en la gestión del conocimiento: un enfoque técnico práctico / application of the PLS-SEM technique in knowledge management: A practical technical approach, RIDE Rev. Iberoam. para la Investig. y el Desarro. Educ., 8 (2018), 130–164. https://doi.org/10.23913/ride.v8i16.336 doi: 10.23913/ride.v8i16.336
    [35] P. B. Lowry, J. Gaskin, Partial least squares (PLS) structural equation modeling (SEM) for building and testing behavioral causal theory: When to choose it and how to use it, IEEE Trans. Prof. Commun., 57 (2014), 123–146. https://doi.org/10.1109/TPC.2014.2312452 doi: 10.1109/TPC.2014.2312452
    [36] R. W. Palmatier, R. P. Dant, D. Grewal, K. R. Evans, Factors influencing the effectiveness of relationship marketing: A meta-analysis, J. Mark., 70 (2006), 136–153. https://doi.org/10.1509/jmkg.70.4.136 doi: 10.1509/jmkg.70.4.136
    [37] A. I. Rokkan, J. B. Heide, K. H. Wathne, Specific investments in marketing relationships: expropriation and bonding effects, J. Mark. Res., 40 (2003), 210–224. https://doi.org/10.1509/jmkr.40.2.210.19223 doi: 10.1509/jmkr.40.2.210.19223
    [38] L. W. Stern, T. Reve, Distribution channels as political economies: A framework for comparative analysis, J. Mark., 44 (1980), 52–64. https://doi.org/10.1177/002224298004400306 doi: 10.1177/002224298004400306
    [39] J. C. Anderson, J. A. Narus, A model of distributor firm and manufacturer firm working partnerships, J. Mark., 54 (1990), 42–58. https://doi.org/10.1177/002224299005400103 doi: 10.1177/002224299005400103
    [40] E. Garbarino, M. S. Johnson, The different roles of satisfaction, trust, and commitment in customer relationships, J. Mark., 63 (1999), 70–87. https://doi.org/10.1177/002224299906300205 doi: 10.1177/002224299906300205
    [41] I. Geyskens, J. B. Steenkamp, N. Kumar, A meta-analysis of satisfaction in marketing channel relationships, J. Mark. Res., 36 (1999), 223–238. https://doi.org/10.1177/002224379903600207 doi: 10.1177/002224379903600207
    [42] I. R. Macneil, Contracts: Adjustment of long-term economic relations under classical, neoclassical, and relational contract law, Nw. UL Rev., 72 (1977), 854.
    [43] D. Narayandas, V. K. Rangan, Building and sustaining buyer–seller relationships in mature industrial markets, J. Mark., 68 (2004), 63–77. https://doi.org/10.1509/jmkg.68.3.63.34772 doi: 10.1509/jmkg.68.3.63.34772
    [44] N. M. Høgevold, G. Svensson, C. Otero-Neira, Validating action and social alignment constituents of collaboration in business relationships, Mark. Intell. Plan., 37 (2019), 721–740. https://doi.org/10.1108/MIP-12-2018-0577 doi: 10.1108/MIP-12-2018-0577
    [45] J. Xue, S. Lu, B. Shi, H. Zheng, Trust, guanxi, and cooperation: A study on partner opportunism in Chinese joint-venture manufacturing, J. Bus. Ind. Mark., 33 (2018), 95–106. https://doi.org/10.1108/JBIM-07-2016-0159 doi: 10.1108/JBIM-07-2016-0159
    [46] Y. Zhou, X. Zhang, G. Zhuang, N. Zhou, Relational norms and collaborative activities: Roles in reducing opportunism in marketing channels, Ind. Mark. Manag., 46 (2015), 147–159. https://doi.org/10.1016/j.indmarman.2015.01.014 doi: 10.1016/j.indmarman.2015.01.014
    [47] J. F. Gaski, N. M. Ray, Alienation in the distribution channel, Int. J. Phys. Distrib. Logist. Manag., 34 (2004), 158–200. https://doi.org/10.1108/09600030410526941 doi: 10.1108/09600030410526941
    [48] J. Crosno, R. Dahlstrom, Y. Liu, P. Y. Tong, Effectiveness of contracts in marketing exchange relationships: A meta-analytic review, Ind. Mark. Manag., 92 (2021), 122–139. https://doi.org/10.1016/j.indmarman.2020.11.007 doi: 10.1016/j.indmarman.2020.11.007
    [49] R. Vázquez-Casielles, V. Iglesias, C. Varela-Neira, Manufacturer–distributor relationships: Role of relationship-specific investment and dependence types, J. Bus. Ind. Mark., 32 (2017), 1245–1260. https://doi.org/10.1108/JBIM-10-2016-0244 doi: 10.1108/JBIM-10-2016-0244
    [50] N. Sharma, An examination of customer relationship value in high vs low technology industries, Acad. Mark. Stud. J., 24 (2020), 1–24.
    [51] J. C. Anderson, J. A. Narus, A model of the distributor's perspective of distributor-manufacturer working relationships, J. Mark., 48 (1984), 62–74. https://doi.org/10.1177/002224298404800407 doi: 10.1177/002224298404800407
    [52] K. H. Wathne, J. B. Heide, Opportunism in interfirm relationships: Forms, outcomes, and solutions, J. Mark., 64 (2000), 36–51. https://doi.org/10.1509/jmkg.64.4.36.18070 doi: 10.1509/jmkg.64.4.36.18070
    [53] J. B. Heide, G. John, The role of dependence balancing in safeguarding transaction-specific assets in conventional channels, J. Mark., 52 (1988), 20-35. https://doi.org/10.1177/002224298805200103 doi: 10.1177/002224298805200103
    [54] S. Ganesan, S. P. Brown, B. J. Mariadoss, H. Ho, Buffering and amplifying effects of relationship commitment in business-to-business relationships, J. Mark. Res., 47 (2010), 361–373. https://doi.org/10.1509/jmkr.47.2.361 doi: 10.1509/jmkr.47.2.361
    [55] J. R. Brown, R. F. Lusch, C. Y. Nicholson, Power and relationship commitment: their impact on marketing channel member performance, J. Retail., 71 (1995), 363–392. https://doi.org/10.1016/0022-4359(95)90019-5 doi: 10.1016/0022-4359(95)90019-5
    [56] A. T. Coughlan, E. Anderson, L. W. Stern, A. El-Ansary, Marketing Channels, Prentice Hall, 2006.
    [57] R. Grewal, G. L. Lilien, S. Bharadwaj, P. Jindal, U. Kayande, R. F. Lusch, et al., Business-to-business buying: Challenges and opportunities, Cust. Needs Solut., 2 (2015), 193–208. https://doi.org/10.1007/s40547-015-0040-5 doi: 10.1007/s40547-015-0040-5
    [58] S. D. Vivek, V. Dalela, S. E. Beatty, Partner engagement: A perspective on B2B engagement, Customer Engagement, Routledge (2015), 53–66.
    [59] R. W. Palmatier, R. P. Dant, D. Grewal, A comparative longitudinal analysis of theoretical perspectives of interorganizational relationship performance, J. Mark., 71 (2007), 172–194. https://doi.org/10.1509/jmkg.71.4.172 doi: 10.1509/jmkg.71.4.172
    [60] A. Pansari, V. Kumar, Customer engagement: the construct, antecedents, and consequences, J. Acad. Mark. Sci., 45 (2017), 294–311. https://doi.org/10.1007/s11747-016-0485-6 doi: 10.1007/s11747-016-0485-6
    [61] S. Vatavwala, B. Kumar, A. Sharma, A. Billore, A. Sadh, Customer disengagement in business-to-business markets: A framework for analysis, Ind. Mark. Manag., 105 (2022), 114–130. https://doi.org/10.1016/j.indmarman.2022.05.018 doi: 10.1016/j.indmarman.2022.05.018
    [62] J. Barnes, Y. Liao, The effect of individual, network, and collaborative competencies on the supply chain management system, Int. J Prod. Econ., 140 (2012), 888–899. https://doi.org/10.1016/j.ijpe.2012.07.010 doi: 10.1016/j.ijpe.2012.07.010
    [63] E. W. Choi, Ö. Özer, Y. Zheng, Network trust and trust behaviors among executives in supply chain interactions, Manag. Sci., 66 (2020), 5823–5849. https://doi.org/10.1287/mnsc.2019.3499 doi: 10.1287/mnsc.2019.3499
    [64] S. Ambulkar, J. V. Blackhurst, D. E. Cantor, Supply chain risk mitigation competency: An individual-level knowledge-based perspective, Int. J Prod. Res., 54 (2016), 1398–1411. https://doi.org/10.1080/00207543.2015.1070972 doi: 10.1080/00207543.2015.1070972
    [65] D. M. Hardesty, W. O. Bearden, The use of expert judges in scale development: Implications for improving face validity of measures of unobservable constructs, J. Bus. Res., 57 (2004), 98–107. https://doi.org/10.1016/S0148-2963(01)00295-8 doi: 10.1016/S0148-2963(01)00295-8
    [66] P. M. Podsakoff, S. B. MacKenzie, J. Y. Lee, N. P. Podsakoff, Common method biases in behavioral research: A critical review of the literature and recommended remedies, J. Appl. Psychol., 88 (2003), 879–903. https://doi.org/10.1037/0021-9010.88.5.879 doi: 10.1037/0021-9010.88.5.879
    [67] J. S. Armstrong, T. S. Overton, Estimating nonresponse bias in mail surveys, J. Mark. Res., 14 (1977), 396–402. https://doi.org/10.1177/002224377701400320 doi: 10.1177/002224377701400320
    [68] S. Cai, M. Jun, Z. Yang, The effects of boundary Spanners' personal relationships on interfirm collaboration and conflict: A study of the role of Guanxi in China, J. Supply Chain Manag., 53 (2017), 19–40. https://doi.org/10.1111/jscm.12132 doi: 10.1111/jscm.12132
    [69] M. Sarstedt, J. F. Hair, C. M. Ringle, K. O. Thiele, S. P. Gudergan, Estimation issues with PLS and CBSEM: Where the bias lies!, J. Bus. Res., 69 (2016), 3998–4010. https://doi.org/10.1016/j.jbusres.2016.06.007 doi: 10.1016/j.jbusres.2016.06.007
    [70] A. Leguina, A primer on partial least squares structural equation modeling (PLS-SEM), Int. J. Res. Method Educ., 38 (2015), 220–221. https://doi.org/10.1080/1743727X.2015.1005806 doi: 10.1080/1743727X.2015.1005806
    [71] 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
    [72] A. C. Davison, D. V. Hinkley, Bootstrap Methods And Their Application, Cambridge University Press, UK, 1977.
    [73] B. Efron, R. Tibshirani, Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy, Stat. Sci., 1 (1986), 54–75. https://doi.org/10.1214/ss/1177013815 doi: 10.1214/ss/1177013815
    [74] D. Kushary, Bootstrap methods and their application, Technometrics, 42 (2000), 216–217. https://doi.org/10.1080/00401706.2000.10486018 doi: 10.1080/00401706.2000.10486018
    [75] J. F. Hair Jr, M. Sarstedt, Factors versus composites: Guidelines for choosing the right structural equation modeling method, Proj. Manag. J., 50 (2019), 619–624. https://doi.org/10.1177/8756972819882132 doi: 10.1177/8756972819882132
    [76] D. Ruiz-Palomo, J. Diéguez-Soto, A. Duréndez, J. A. C Santos, Family management and firm performance in family SMEs: The mediating roles of management control systems and technological innovation, Sustainability, 11 (2019), 3805. https://doi.org/10.3390/su11143805 doi: 10.3390/su11143805
    [77] M. Sarstedt, C. M. Ringle, J. H. Cheah, H. Ting, O. I. Moisescu, L. Radomir, Structural model robustness checks in PLS-SEM, Tour. Econ., 26 (2020), 531–554. https://doi.org/10.1177/1354816618823921 doi: 10.1177/1354816618823921
    [78] C. M. Ringle, S. Wende, J. M. Baker, Smart-Pls, SmartPLS 4. Oststeinbek: SmartPLS, (2022). Available from: https://www.smartpls.com.
    [79] S. Streukens, S. Leroi-Werelds, Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results, Eur. Manag. J., 34 (2016), 618–632. https://doi.org/10.1016/j.emj.2016.06.003 doi: 10.1016/j.emj.2016.06.003
    [80] S. Mayr, E. Erdfelder, A. Buchner, F. Faul, A short tutorial of GPower, Tutor. Quant. Methods Psychol., 3 (2007), 51–59. https://doi.org/10.20982/tqmp.03.2.p051 doi: 10.20982/tqmp.03.2.p051
    [81] J. Cohen, Statistical Power Analysis for the Behavioral Sciences, Erbaum Press, Hillsdale, NJ, USA, 2013. https://doi.org/10.20982/tqmp.03.2.p051
    [82] M. Sarstedt, C. M. Ringle, J. F. Hair, Partial least squares structural equation modeling, in Handbook of Market Research, Cham, Springer (2022), 587–632. https://doi.org/10.1007/978-3-319-57413-4_15
    [83] J. Henseler, G. Hubona, P. A. Ray, Using PLS path modeling in new technology research: Updated guidelines, Ind. Manag. Data Syst., 116 (2016), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382 doi: 10.1108/IMDS-09-2015-0382
    [84] J. Henseler, On the convergence of the partial least squares path modeling algorithm, Comput. Stat., 25 (2010), 107–120. https://doi.org/10.1007/s00180-009-0164-x doi: 10.1007/s00180-009-0164-x
    [85] T. K. Dijkstra, J. Henseler, Consistent partial least squares path modeling, MIS Q. Manag. Inf. Syst., 39 (2015), 297–316. https://doi.org/10.25300/MISQ/2015/39.2.02 doi: 10.25300/MISQ/2015/39.2.02
    [86] J. Henseler, C. M. Ringle, M. Sarstedt, A new criterion for assessing discriminant validity in variance-based structural equation modeling, J. Acad. Mark. Sci., 43 (2015), 115–135. https://doi.org/10.1007/s11747-014-0403-8 doi: 10.1007/s11747-014-0403-8
    [87] 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
    [88] C. Fornell, D. F. Larcker, Evaluating structural equation models with unobservable variables and measurement error, J. Mark. Res., 18 (1981), 39–50. https://doi.org/10.1177/002224378101800104 doi: 10.1177/002224378101800104
    [89] J. Henseler, Some inconvenient truths about PLS path modeling, 9th Int. Conf. PLS Relat. Methods, (2016), 74–76.
    [90] L. T. Hu, P. M. Bentler, Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification, Psychol. Methods, 3 (1998), 424–453. https://doi.org/10.1037/1082-989X.3.4.424 doi: 10.1037/1082-989X.3.4.424
    [91] W. W. Chin, How to write up and report pls analyses, in Handbook of Partial Least Squares, Springer, (2010), 655–690. https://doi.org/10.1007/978-3-540-32827-8_29
    [92] G. Shmueli, To explain or to predict?, Stat. Sci., 25 (2010), 289–310. https://doi.org/10.1214/10-STS330 doi: 10.1214/10-STS330
    [93] D. Straub, D. Gefen, Validation guidelines for is positivist research, Commun. Assoc. Inf. Syst., 13 (2004), 380–427. https://doi.org/10.17705/1CAIS.01324 doi: 10.17705/1CAIS.01324
    [94] J. Evermann, M. Tate, Assessing the predictive performance of structural equation model estimators, J. Bus. Res., 69 (2016), 4565–4582. https://doi.org/10.1016/j.jbusres.2016.03.050 doi: 10.1016/j.jbusres.2016.03.050
    [95] G. Shmueli, M. Sarstedt, J. F. Hair, J. Cheah, H. Ting, S. Vaithilingam, et al., Predictive model assessment in PLS-SEM: guidelines for using PLSpredict, Eur. J. Mark., 53 (2019), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189 doi: 10.1108/EJM-02-2019-0189
    [96] J. F. Hair, M. C. Howard, C. Nitzl, Assessing measurement model quality in PLS-SEM using confirmatory composite analysis, J. Bus. Res., 109 (2020), 101–110. https://doi.org/10.1016/j.jbusres.2019.11.069 doi: 10.1016/j.jbusres.2019.11.069
    [97] A. Calvo-Mora, A. Blanco-Oliver, J. L. Roldán, R. Periáñez-Cristóbal, TQM factors and organisational results in the EFQM excellence model framework: an explanatory and predictive analysis, Ind. Manag. Data Syst., 120 (2020), 2297–2317. https://doi.org/10.1108/IMDS-12-2019-0701 doi: 10.1108/IMDS-12-2019-0701
    [98] C. M. Felipe, J. L. Roldán, A. L. Leal-Rodríguez, Impact of organizational culture values on organizational agility, Sustainability, 9 (2017), 2354. https://doi.org/10.3390/su9122354 doi: 10.3390/su9122354
    [99] A. G. Woodside, Moving beyond multiple regression analysis to algorithms: Calling for adoption of a paradigm shift from symmetric to asymmetric thinking in data analysis and crafting theory, J. Bus. Res., 66 (2013), 463–472. https://doi.org/10.1016/j.jbusres.2012.12.021 doi: 10.1016/j.jbusres.2012.12.021
    [100] A. Martín-Navarro, F. Velicia-Martín, J. A. Medina-Garrido, R. G. Rodrigues, Causal propensity as an antecedent of entrepreneurial intentions, Int. Entrep. Manag. J., 19 (2023), 501–522. https://doi.org/10.1007/s11365-022-00826-1 doi: 10.1007/s11365-022-00826-1
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