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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 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.

The literature on help-seeking at work has experienced significant growth in the past decades. However, our knowledge about this research domain remains fragmented and lacks sufficient theoretical integration. Therefore, this paper aims to comprehensively integrate the extant literature on help-seeking behavior at work and propose an overarching, organized framework to propel this field forward.

A state-of-the-art review and theoretical development on help-seeking at work are conducted.

First, the authors provide the conceptual clarity of its definitions, key characteristics, types and measurement techniques. Second, the authors develop a fine-grained and integrative process-based framework consisting of antecedents, proximal psychological mechanisms, subsequent influencing processes and distal outcomes to advance our understanding of seeking help in the workplace. Third, the authors offer a detailed agenda for future research to target opportunities within the field.

The current study is comprehensive in surveying the full body of knowledge on help-seeking at work. It uniquely provides a coherent overarching framework that organizes prior findings and channels future research. Additionally, this review paints a complete picture of what has been done and what needs to be done in the field. More research can be spurred based on our conceptual framework.

This paper aims to theoretically investigate a knowledge management model from the combined perspective of knowledge acquisition and knowledge application and its effect on organizational performance.

This study reviews prior research on knowledge acquisition and knowledge application, puts forward the concepts of “the extensiveness of knowledge acquisition” and “the concentration of knowledge application” and more importantly proposes an integrated model by combining these two dimensions. Four case examples of enterprises are subsequently described and analyzed to illustrate the sources of knowledge acquisition, the objects of knowledge application and their influences on organizational performance.

Four knowledge management modes and their impacts are confirmed in this study. Specifically, the organization of the turbojet engine mode (high extensiveness of knowledge acquisition and high concentration of knowledge application) can achieve good performance. The pipeline mode (high extensiveness of knowledge acquisition and low concentration of knowledge application) is the second, which has limited influence on good organizational performance. Organizations with the flashlight mode (low extensiveness of knowledge acquisition and high concentration of knowledge application) can achieve limited performance under the appropriate environment. The candle mode (low extensiveness of knowledge acquisition and low concentration of knowledge application) is the worst, performance of which is poor due to the break of the knowledge chain.

This paper holds that organizations should actively use the turbojet engine mode, adopt the pipeline mode and the flashlight mode cautiously, and avoid falling into the candle mode.

To the best of the authors’ knowledge, this study is among the first to propose the concepts of “the extensiveness of knowledge acquisition” and “the concentration of knowledge application,” and provides a combined model for analyzing differences in organizational performance from the perspective of knowledge.

This study aims to examine the empirical linkages among emotional experiences, national identity and behavioural intentions for red tourism in China.

Partial least squares structural equation modelling was applied to data from two rounds of surveys of 1,095 on-site visitors to Zunyi and Yan’an, two well-known red tourism cities in China.

Emotional experiences significantly affect national identity, with positive emotions significantly affecting national identity. Positive emotions also significantly influenced behavioural intentions, national identity positively influenced behavioural intentions and national pride mediated the relationship of “positive emotion → behavioural intentions”. In addition, previous experience played a moderating role in the relationship of “positive emotion → national pride”.

This research produced new insights on red tourism emotional experiences by clarifying its types, connotations and influences. It contributes to a better understanding of national identity antecedents and outcomes in red tourism. Findings revealed the significant role of red tourism in cultivating national identity and provide implications for academic research and practical development of red tourism.

本研究旨在考察中国红色旅游者的情绪体验、国家认同和行为意向之间的影响关系及其作用机制。

采用偏最小二乘法结构方程模型(PLS-SEM), 对来自中国红色旅游圣地——遵义和延安的1095名现场游客的问卷调查数据进行了统计分析。

情绪体验对国家认同会产生显著影响。其中, 积极情感会显著正向影响国家认同。同时, 积极情感也会对行为意向产生显著正向影响。此外, 国家认同对行为意向具有积极影响, 且国家自豪感在“积极情感→行为意图”的影响关系中充当中介作用。最后, 研究还发现旅游经历在“积极情感→国家自豪感”的影响关系中具有显著的调节作用。

本研究通过阐明红色旅游情绪体验的类型、内涵及其影响关系, 为深入理解红色旅游情绪体验提供了一个全新的视角。同时, 文章还进一步厘清了红色旅游情境中国家认同感的形成前因和影响结果的作用机理。研究结论揭示了红色旅游在培育国家认同感方面的重要价值, 并为红色旅游的学术研究和实践发展提供了重要启示。

Esta investigación examinó los vínculos empíricos entre las experiencias emocionales, la identidad nacional y las intenciones de comportamiento para del turismo rojo en China.

Se aplicó el análisis de ecuaciones estructurales basado en mínimos cuadrados parciales (PLS - SEM) a los datos recogidos mediante dos rondas de encuestas realizadasa 1.095 visitantes in situ en Zunyi y Yan'an, dos conocidas ciudades de turismo rojo de China.

Las experiencias emocionales afectan significativamente a la identidad nacional, y las emociones positivas influyen significativamente en la identidad nacional. Las emociones positivas también influyeron significativamente en las intenciones de comportamiento; la identidad nacional influyó positivamente en las intenciones de comportamiento y el orgullo nacional medió la relación “emoción positiva → intenciones de comportamiento”. Además, la experiencia previa desempeñó un papel moderador en la relación “emoción positiva → orgullo nacional”.

Esta investigación aportó nuevos hallazgos sobre las experiencias emocionales del turismo rojo al aclarar sus tipos, connotaciones e influencias. Contribuye a una mejor comprensión de los antecedentes y resultados de la identidad nacional en el turismo rojo. Los resultados de la investigación revelan el importante papel del turismo rojo en el cultivo de la identidad nacional y ofrecen implicaciones para la investigación académica y el desarrollo práctico del turismo rojo.

Ambidexterity is the source of organizational sustainable development and long-term success. However, understanding the role of individual ambidexterity in organizations remains underdeveloped. Recently, scholars have increasingly emphasized the importance of individual ambidexterity, calling for more research on the topic. This study aims to explore the factors influencing individual ambidexterity. It proposed that goal orientation would be related to individual ambidexterity, and perceived cooperative goal interdependence and constructive controversy would play moderating roles in this relationship.

The paper opted for a survey study. Questionnaires were distributed to enterprise managers from a part-time MBA program at a university located in Beijing, China. They were also asked to bring copies to their colleagues, so they could fill them out. The authors obtained 229 valid questionnaires and used hierarchical regression analysis to test the relationships.

The results revealed that both learning goal orientation and performance goal orientation were significantly and positively related to individual ambidexterity. Perceived cooperative goal interdependence and constructive controversy positively moderated the relationship between learning goal orientation/ performance goal orientation and individual ambidexterity.

The paper provides beneficial suggestions for both managers and employees. It offers a reference for managers regarding how to promote employee ambidexterity. It also provides suggestions for employee career development.

The paper explored the factors influencing ambidextrous activities at the individual level, a very scare approach in extant studies. It also constructed a systematic process mechanism of individual ambidexterity, integrating both internal and external factors.

This paper aims to explore the relationship between team learning and individual performance and examine the mediating effect of individual reflection on such relations. As a contextual factor, the moderating role of psychological safety is investigated in the team learning–individual reflection relationship.

This paper is based on a survey with 229 effective participants, which included enterprise managers and their colleagues from part-time MBA program in one university located in Beijing, China. Path model is conducted to test the hypotheses proposed in this paper.

The results indicate that team learning is positively associated with individual reflection and performance. Individual reflection plays a mediating role between the relationship between team learning and individual performance. Perceived team psychological safety positively moderates the relationship between perceived team learning and individual reflection, such that the positive relation is more significant when employees perceived higher psychological safety.

This paper has both theoretical and practical implications. Theoretically, the authors establish the direct and indirect relationship between team learning and individual performance and aim to find additional support for Edmonson’s view suggesting that psychological safety would facilitate learning behavior. In terms of practical implications, the authors point the importance of developing learning teams and promoting individual learning.

The purpose of this paper is to investigate the impact of the public pension governance practices on the public defined benefit pension (DBP) fund performance.

To provide a holistic evaluation of public DBP performance, this study first employs the Data Envelopment Analysis (DEA) approach to construct a relative performance measure that simultaneously takes into account the association between investment inputs and performance outputs across DBPs in our sample. A DEA regression model is then constructed to empirically examine the impact of pension governance on public DBP performance.

Using 1,544 hand-collected observations in the USA from 2002 to 2013, the findings show that the public DBP plans with a small board, appointed board trustees, and a separate investment council exhibit better performance.

The effectiveness of pension governance has increasingly drawn public attention, as it affects the performance of the public DBP plans that especially matter to public employees. The empirical findings of this research offer insights into recent calls to reexamine public DBP management practices and to carry out related public pension fund policy reforms.

The examination of public DBP governance practices in this study enriches the governance literature, particularly research on public pension funds, by using public sector data. Second, by applying the DEA method to evaluate the relative performance of public DBP funds, this study obtains a more comprehensive analysis of the public pension governance.

The choice of accounting methods is critical in measuring the performance and sustainability of a public defined benefit pension (DBP) plan, and such measurement has an impact on the effectiveness of the entire pension system. Prior literature rarely discusses the choice and rationale of the accounting assumptions for public DBP plans. This study fills the gap by investigating whether crucial plan characteristics, including operational performance, financial health, sponsor fiscal stress, and audit quality, are associated with the accounting assumptions of public DBP plans.

The sample includes 1,170 plan-years from the intersection of the Center for Retirement Research and public DBPs' annual financial reports for the years 2001–2013. This study develops regression models to examine the relationship between the characteristics of public DBP practices and DBP accounting choices.

The empirical results show that the public DBPs that have better investment performance, higher funding status, less fiscal stress, and that are audited by Big 4 accounting firms are more likely to adopt conservative accounting choices.

The study documents the impact of crucial pension plan characteristics on public DBP managers' accounting choices, which were not extensively discussed in pension literature. The findings help us understand the rationale for employing different accounting treatments in the context of public pension fund practices. In addition, the study sheds light on policy implications for the future reform of public pension regulations.