@article{60166,
  abstract     = {{For business-to-business (B2B) supplier firms that increasingly infuse technology into their offerings such that
they can provide data-driven services, ready access to proprietary B2B customer firm data is critical. Despite
clear evidence that B2B customer firms hesitate to provide such data due to the associated privacy risks, limited
evidence exists regarding how B2B customer firms engage in privacy-related decision-making. Such knowledge is
crucial to efforts to address privacy-related challenges by designing and managing B2B services effectively.
Therefore, informed by a systematic analysis of the current state of research on privacy-related decision-making
in B2B contexts, this article derives a comprehensive research framework from B2B buying research. The
framework conceptualizes privacy-related decision-making in B2B as a multilayered phenomenon and indicates
key questions for continued research on pressing managerial challenges for B2B services and solutions providers.}},
  author       = {{Schumann, Jan H. and Zimmermann, Johanna and Steinhoff, Lena and Totzek, Dirk and van der Borgh, Michel and Martin, Kelly D.}},
  issn         = {{0148-2963}},
  journal      = {{Journal of Business Research}},
  publisher    = {{Elsevier BV}},
  title        = {{{Toward a multilayered framework of privacy-related decision-making in B2B}}},
  doi          = {{10.1016/j.jbusres.2025.115243}},
  volume       = {{190}},
  year         = {{2025}},
}

@article{53200,
  abstract     = {{Customer misbehavior poses a major risk in the sharing economy. For example, property damage to shared accommodations imposes burdens on both sharing platforms and hosts, especially if misbehaving guests purposefully, not coincidentally conceal, or fail to report damages. Such misbehavior might be facilitated by remote listing management and the lack of face-to-face interactions between hosts and guests. Therefore, this study investigated the effects of host–guest interaction modes (face-to-face, online-only) and frequency on guests’ misbehavior concealment intentions. Social identification and irritation emerged as bright- and dark side mediators, respectively. Guests who interacted face-to-face (vs. online-only) with hosts exhibited weaker intentions to conceal their misbehavior due to increased social identification. Platforms can elicit social identification by engaging guests in virtual communities. However, when face-to-face interactions become excessive, guests experience irritation and are more likely to conceal their misbehavior. These insights offer practical implications for both peer-to-peer sharing platforms and hosts.}},
  author       = {{Ozuna, Edna and Steinhoff, Lena}},
  issn         = {{0148-2963}},
  journal      = {{Journal of Business Research}},
  keywords     = {{Sharing economy, Customer misbehavior, Peer-to-peer services, Face-to-face interactions, Experimental research}},
  publisher    = {{Elsevier BV}},
  title        = {{{“Look me in the eye, customer”: How do face-to-face interactions in peer-to-peer sharing economy services affect customers’ misbehavior concealment intentions?}}},
  doi          = {{10.1016/j.jbusres.2024.114582}},
  volume       = {{177}},
  year         = {{2024}},
}

@article{53217,
  author       = {{Tavana, Madjid and Mina, Hassan and Santos-Arteaga, Francisco J.}},
  issn         = {{0148-2963}},
  journal      = {{Journal of Business Research}},
  keywords     = {{Marketing}},
  publisher    = {{Elsevier BV}},
  title        = {{{A general Best-Worst method considering interdependency with application to innovation and technology assessment at NASA}}},
  doi          = {{10.1016/j.jbusres.2022.08.036}},
  volume       = {{154}},
  year         = {{2023}},
}

@article{53222,
  author       = {{Sorooshian, Shahryar and Tavana, Madjid and Ribeiro-Navarrete, Samuel}},
  issn         = {{0148-2963}},
  journal      = {{Journal of Business Research}},
  keywords     = {{Marketing}},
  publisher    = {{Elsevier BV}},
  title        = {{{From classical interpretive structural modeling to total interpretive structural modeling and beyond: A half-century of business research}}},
  doi          = {{10.1016/j.jbusres.2022.113642}},
  volume       = {{157}},
  year         = {{2023}},
}

@article{48519,
  author       = {{Hubner-Benz, Sylvia and Frese, Michael and Song, Zhaoli and Tripathi, Neha and Kaschner, Tamara and Le Kong, Xing}},
  issn         = {{0148-2963}},
  journal      = {{Journal of Business Research}},
  keywords     = {{Marketing}},
  pages        = {{408--421}},
  publisher    = {{Elsevier BV}},
  title        = {{{An Asia-centric approach to team innovation: Cultural differences in exploration and exploitation behavior}}},
  doi          = {{10.1016/j.jbusres.2021.09.009}},
  volume       = {{138}},
  year         = {{2021}},
}

@article{41313,
  author       = {{Steinhoff, Lena and Zondag, Marcellis M.}},
  issn         = {{0148-2963}},
  journal      = {{Journal of Business Research}},
  keywords     = {{Marketing}},
  pages        = {{70--82}},
  publisher    = {{Elsevier BV}},
  title        = {{{Loyalty programs as travel companions: Complementary service features across customer journey stages}}},
  doi          = {{10.1016/j.jbusres.2021.02.016}},
  volume       = {{129}},
  year         = {{2021}},
}

@article{13149,
  author       = {{Wünderlich, Nancy V. and Hogreve, Jens and Chowdhury, Ilma Nur and Fleischer, Hannes and Mousavi, Sahar and Rötzmeier-Keuper, Julia and Sousa, Rui}},
  issn         = {{0148-2963}},
  journal      = {{Journal of Business Research}},
  title        = {{{Overcoming vulnerability: Channel design strategies to alleviate vulnerability perceptions in customer journeys}}},
  doi          = {{10.1016/j.jbusres.2019.07.027}},
  year         = {{2019}},
}