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This paper aims to empirically explore the evolution of servitization and how platforms affect the transition between the stages of servitization.

The authors conducted an in-depth case study of a Chinese manufacturer (i.e. Haier) using a longitudinal design. Three rounds of data collection were conducted between 2014 and 2020. The authors carried out 50 semi-structured interviews and 11 workshops to collect data from senior and middle managers of Haier and its business partners.

The authors found that Haier’s servitization journey includes three stages (i.e. product-oriented solution, integrated solution and smart connected solutions) that evolve in the target of the services and the digital components of the solutions. Haier has also developed three types of platforms (i.e. service platform, supply chain platform and platform ecosystem) to support the implementation of servitization. The empirical evidence reveals that platforms can address the complexities that emerged when Haier implements the different stages of servitization as well as enable Haier to transition from one stage of servitization to the next.

This study enhances the current understanding of the evolution of servitization and the roles of digital technologies in the transition between the stages of servitization. It also provides empirical evidence regarding how the platform approach enables the development of servitization. By clarifying the interplay between servitization and platforms, this study provides guidelines for managers on how to develop platforms to both advance and benefit from servitization.

Micro corporate social responsibility (CSR) is an emerging concept in management that relates to the examination of employees’ reaction to CSR initiatives. In this stream of literature, this study aims to investigate the underlying mechanism and boundary conditions of CSR and employees’ organizational identification relationship.

The data of middle managers (n = 187) were collected from a large hospitality and real estate organization actively involved in CSR activities in Pakistan. The authors conducted two surveys using the self-administered questionnaire with a temporal break. Structural equation modeling was run using AMOS to analyze the data.

The authors found that organizational pride meditates while desire to have a significant impact through work (DSIW), gender and organizational tenure moderates the relationship between CSR and organizational identification.

The study implies that the management can take the opportunity to make use of the positive response of the employees by investing in social and environmental causes.

The study contributes to CSR, organizational behavior literature, and person-organization fit theory by explaining the complete path of CSR and identification. It unfolds the underlying mechanism and contingencies of CSR-Identification link that are overlooked in the literature .

Firms face critical challenges in managing product quality in a global supply chain. In many cases, these challenges could be regarded as an agency problem which is a result of the goal conflict between the supply chain members. To address such agency problem, the purpose of this paper is twofold: first, to explain how risk and reward sharing practices contribute to firms’ quality performance in the supply chain; and second, to identify the drivers of applying risk and reward sharing.

The hypothesised model, based on agency theory, is empirically verified by original survey data of 200 Chinese manufacturing companies using the structural equations modelling approach in a context of product recall.

Supplier involvement and task programmability are two significant antecedents of risk and reward sharing. Further, the paper shows that risk and reward sharing have a positive effect on quality performance, however, in terms of contribution to quality performance, risk sharing and reward sharing may be substitution practices.

This research explains how managers could embrace better preparedness for risk and reward sharing in their supply chains. It is also suggested that although risk and reward sharing are seen as efficient means to improve quality performance, such practices should not be treated as a bundle.

Building on supply partnership literature, this paper contributes to agency theory by providing a solution to the agency problem, i.e., risk and reward sharing and adding to the limited understanding of the antecedents of risk and reward sharing and examining the effects of risk and reward sharing on quality performance.

This study explores how sharing platforms achieve platform loyalty through various operation management strategies.

A multiple case study method has been conducted in two Chinese sharing economy industries: ride- and bike-sharing. Data were collected through 30 semi-structured interviews with managers from four platform companies (DiDi, Uber China, ofo and Mobike). Individual case studies were developed from the triangulation of all existing data. Concurrent with the development of these individual case studies was a cross-case analysis. Emerging patterns have been identified and compared to previous findings in the literature to build upon and modify the existing knowledge base and to formulate a series of propositions.

Platform asset characteristics and mergers and acquisitions affect supply network readiness and operational capacity, respectively, and this effect would consequently contribute to achieving platform loyalty through user satisfaction. Moreover, externality, as a moderator, may influence the strength of the relationship between satisfaction and platform loyalty.

The proposed theoretical model provides an overarching framework for sharing platform companies to design and operate their businesses while carefully examining the situations, contexts and actions of users and other stakeholders and choosing an appropriate strategic mechanism to drive platform growth.

This study is one of the first to empirically explain how firms in a sharing economy sector could gain platform loyalty by adopting an expectation–confirmation theory perspective.

The purpose of this paper is to systematically review the academic literature on non-governmental organizations’ (NGOs) role in sustainable supply chain management (SSCM) to develop a conceptual framework.

This paper conducts a systematic literature review through an analysis of 47 papers identified from peer-reviewed academic journals published from 2002 to 2020.

Adopting social movement theory and based on thematic findings, this paper proposes four steps and six propositions in the process of NGOs fostering SSCM. These include relative deprivation, political opportunities, resource mobilization and collective action, based on which we developed a conceptual framework regarding the role of NGOs in improving sustainability in supply chains. The proposed conceptual model opens a new avenue of research in NGO literature and several directions for further research.

This study may be the first to provide a systematic review of NGOs’ role in improving sustainability in supply chains. Moreover, by borrowing the social movement theory from sociology, this paper able to propose a new conceptual framework with a research agenda so as to deepen the understanding of the phenomenon and provide directions for future research.

The purpose of this paper is to explore how multinational corporations (MNCs) orchestrate internal and external resources to help their multi-tier supply chains learn sustainability-related knowledge.

An exploratory multiple case study approach was adopted and three MNCs’ sustainable initiatives in China were examined. The data were primarily collected through 43 semi-structured interviews with managers of focal companies and their multi-tier suppliers.

The authors found that in order to facilitate their supply chains to learn sustainability, MNCs tend to orchestrate in breadth by internally setting up new functional departments and externally working with third parties, and orchestrate in depth working directly with their extreme upstream suppliers adopting varied governance mechanisms on lower-tier suppliers along the project lifecycle. The resource orchestration in breadth and depth and along the project lifecycle results in changes of supply chain structure.

The proposed conceptual model provides an overall framework for companies to design and implement their multi-tier sustainable initiatives. Companies could learn from the suggested learning stages and the best practices of case companies.

The authors extend and enrich resource orchestration perspective (ROP), which is internally focused, to a supply chain level, and answer a theoretical question of how MNCs orchestrate their internal and external resources to help their supply chains to learn sustainability. The extension of ROP refutes the resource dependence theory, which adopts a passive approach of relying on external suppliers and proposes that MNCs should proactively work with internal and external stakeholders to learn sustainability.

This paper aims to systematically review the literature on quality management in agri-food supply chains (SCs) and propose an integrated conceptual framework.

A systematic literature review that analyses 93 papers in peer-reviewed academic journals published from 1996 to November 2021 is conducted. A conceptual model is advanced.

Based on a hierarchy of capabilities perspective, the authors develop an integrated conceptual framework in which SC quality (SCQ) management practices promote three levels of SC dynamic capabilities, which in turn lead to agri-food SCQ performance.

The authors propose a hierarchy of capabilities perspective of quality management in agri-food SCs and develop a conceptual framework. Furthermore, a number of propositions based on dynamic capabilities and the review findings are provided. Four future research directions are presented.

The purpose of this study is to develop a synthesized conceptual framework for artificial intelligence (AI) adoption in the field of business-to-business (B2B) marketing.

A conceptual development approach has been adopted, based on a content analysis of 59 papers in peer-reviewed academic journals, to identify drivers, barriers, practices and consequences of AI adoption in B2B marketing. Based on these analyses and findings, a conceptual model is developed.

This paper identifies the following two key drivers of AI adoption: the shortcomings of current marketing activities and the external pressure imposed by informatization. Seven outcomes are identified, namely, efficiency improvements, accuracy improvements, better decision-making, customer relationship improvements, sales increases, cost reductions and risk reductions. Based on information processing theory and organizational learning theory (OLT), an integrated conceptual framework is developed to explain the relationship between each construct of AI adoption in B2B marketing.

This study is the first conceptual paper that synthesizes drivers, barriers and outcomes of AI adoption in B2B marketing. The conceptual model derived from the combination of information processing theory and OLT provides a comprehensive framework for future work and opens avenues of research on this topic. This paper contributes to both AI literature and B2B literature.