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This study aims to explore the role of green motive (GM) and green dynamic capabilities (GDC) in green innovation (GI) through green value co-creation (GVC). Moreover, this study investigates the moderation of top management support (TMS) to strengthen the mediation of specific constructs; GM, GDC, green value co-creation (GVC) and green innovation (GI).

In total, 337 respondents (executive level/chief executive officer (CEO)) of service organizations were approached using a convenience sampling technique to collect the data through the survey method. Of these, 294 (87% response rate) duly filled responses were used in the final data analysis. In SPSS (Statistical Package for Social Sciences) v-23, the Process Macro-Hayes was used to evaluate the study's conceptual framework empirically.

The study revealed that TMS strengthened the mediation framework of GM, GDC, GVC and GI. Moreover, all hypotheses related to direct and indirect associations of specific constructs used in the theoretical framework were statistically significant and proved.

The comprehensive framework for GI of service organizations, primarily in the context of developing countries like Pakistan, is deficient in literature. This study helps service organizations by providing a comprehensive GI model to put a central focus on the transformation of management philosophy and working approach for achieving GI in the services structure.

To support digital humanities research more effectively and efficiently, this study develops a novel Knowledge Graph Analysis Tool of People and Organizations (KGAT-PO) for the Digital Humanities Research Platform for Biographies of Chinese Malaysian Personalities (DHRP-BCMP) based on artificial intelligence (AI) technology that would not only allow humanities scholars to look at the relationships between people but also has the potential for aiding digital humanities research by identifying latent relationships between people via relationships between people and organizations.

To verify the effectiveness of KGAT-PO, a counterbalanced design was applied to compare research participants in two groups using DHRP-BCMP with and without KGAT-PO, respectively, to perform people relationship inquiry and to see if there were significant differences in the effectiveness and efficiency of exploring relationships between people, and the use of technology acceptance between the two groups. Interviews and Lag Sequential Analysis were also used to observe research participants’ perceptions and behaviors.

The results show that the DHRP-BCMP with KGAT-PO could help research participants improve the effectiveness of exploring relationships between people, and the research participants showed high technology acceptance towards using DHRP-BCMP with KGAT-PO. Moreover, the research participants who used DHRP-BCMP with KGAT-PO could identify helpful textual patterns to explore people’s relationships more quickly than DHRP-BCMP without KGAT-PO. The interviews revealed that most research participants agreed that the KGAT-PO is a good starting point for exploring relationships between people and improves the effectiveness and efficiency of exploring people’s relationship networks.

The research’s limitations encompass challenges related to data quality, complex people relationships, and privacy and ethics concerns. Currently, the KGAT-PO is limited to recognizing eight types of person-to-person relationships, including couple, sibling, parent-child, friend, teacher-student, relative, work, and others. These factors should be carefully considered to ensure the tool’s accuracy, usability, and ethical application in enhancing digital humanities research.

The study’s practical implications encompass enhanced research efficiency, aiding humanities scholars in uncovering latent interpersonal relationships within historical texts with high technology acceptance. Additionally, the tool’s applications can extend to social sciences, business and marketing, educational settings, and innovative research directions, ultimately contributing to data-driven insights in the field of digital humanities.

The research’s originality lies in creating a Knowledge Graph Analysis Tool of People and Organizations (KGAT-PO) using AI, bridging the gap between digital humanities research and AI technology. Its value is evident in its potential to efficiently uncover hidden people relationships, aiding digital humanities scholars in gaining new insights and perspectives, ultimately enhancing the depth and effectiveness of their research.

An important global issue is the harm that businesses are posing to the environment. However, the impact of small and medium enterprises’ (SMEs) operations on the environment often goes unnoticed, and their willingness to adopt green innovations is limited. Therefore, this study aims to examine the factors influencing the adoption of green innovation among SMEs in Indonesia.

The research used a survey to investigate SMEs operating in the pineapple-based food sector, which is a leading commodity in Riau Province, Sumatera, Indonesia. Specifically, the research focused on the districts of Kampar, Siak and Dumai, with data collecting taking place from April to August 2022. SMEs were selected purposively based on a minimum operational tenure of 10 years. A total of 225 respondents met the selection criteria and participated in this study. The research data were collected through a questionnaire. To analyse the data, the study used structured equation modelling with partial least squares.

There are three categories of factors influencing SMEs to adopt green innovations: technological, environmental and organizational. Of these factors, organizational factors emerge as the primary determinant of green innovation adoption among SMEs in the country.

The generalizability of the findings in this study is limited due to the specific focus on food sector SMEs in Riau Province. To obtain more generalized results, it is recommended that future research be conducted on SMEs across different sectors in other cities and countries.

This study provides a deeper understanding of the specific dimensions of organizational factors that play a crucial role in driving green innovation adoption, especially within the context of SMEs in the food sector in Indonesia.

We investigate how green transformational leadership (GTL) influences green innovative service behavior (GISB), particularly in the hospitality sector, which faces significant environmental challenges. Drawing from social identity theory (SIT), we introduce green organizational identity (GOI) as a mediating mechanism through which GTL fosters GISB. Furthermore, we propose a moderated mediation model whereby a green knowledge-sharing climate (GKSC) serves as a first-stage moderator to further understand how and when GTL fosters GISB through GOI.

We employed a multi-study design (i.e. two independent studies across China) to test the hypothesized relationships. Study 1 involved full-time employees from the service industry in China, including healthcare, telecommunication, and insurance sectors (N = 313). Study 2 employed a time-lagged dyadic design, collecting responses from employees and their managers at three different time points in the hospitality sector (N = 419).

In Study 1, the simple mediation results demonstrate that GTL positively influences GISB through the mediating role of GOI. Moreover, in Study 2, the moderating effect of GKSC was supported, showing that in organizations with strong green knowledge-sharing climate, the indirect effect of GTL on GISB via GOI is amplified.

In our work, we address a critical gap in the literature by identifying both the mechanisms and contextual factors that explain how GTL influences GISB. By introducing GOI as a mediator and GKSC as a first-stage moderator, the study advances understanding of how leadership, organizational identity, and a green-supportive climate interact to promote eco-friendly innovation in service organizations. This contributes both theoretically and practically to the development of effective strategies for advancing green initiatives in the service sector.

This research aims to explore the mechanisms and conditions that motivate diners to engage in foodstagramming. It focuses on intrinsic versus extrinsic motivations, and the role of the dining environment in facilitating social connection and social commerce intention.

Two scenario-based experiments were conducted among Chinese participants. Experiment 1 (n = 219) used a one-factor between-subjects design to test the effect of foodstagramming incentives (intrinsic vs extrinsic) on social commerce intention. Experiment 2 (n = 529) used a 2 (foodstagramming incentive: extrinsic vs intrinsic) × 2 (environmental attractiveness: low vs high) between-subjects design to examine the mediation of social connection and the moderation of environmental attractiveness.

Intrinsic incentives more effectively enhance tourists’ social commerce intention than extrinsic incentives. The attractiveness of the dining environment moderates this relationship. Extrinsic incentives significantly boost social commerce intention and social connection in low-attractiveness environments, but not in high-attractiveness environments. Social connection serves as a conditional mediator.

Restaurant managers should prioritize superior service and culinary offerings, and invest in appealing dining environments to encourage tourists to share their dining experiences, leveraging word-of-mouth promotions. In less attractive settings, external incentives like coupons or discounts can promote food selfie-taking and sharing, driving social commerce intention.

This study offers new insights into foodstagramming motivations, highlighting the effectiveness of economic incentives and the role of the service environment in influencing social commerce behaviors. It expands the literature on service environments by explaining their effect on tourists’ sharing, commenting, liking and repurchasing behaviors.

本研究探讨了激励食客进行“美食打卡”行为的机制与条件, 重点分析了内在与外在激励, 以及用餐环境在促进社交联系和社交商务意图中的作用。

研究基于两个场景实验, 实验对象为中国参与者。实验1（n = 219）采用单因素组间设计, 以测试美食打卡激励（内在 vs. 外在）对社交商务意图的影响。实验2（n = 529）采用2（美食打卡激励：外在 vs. 内在）× 2（环境吸引力：低 vs. 高）的组间设计, 考察了社交联系的中介作用以及环境吸引力的调节作用。

内在激励比外在激励更有效地提升游客的社交商务意图。餐饮环境的吸引力对该关系具有调节作用。在低吸引力环境中, 外在激励显著增强了社交商务意图和社交联系, 而在高吸引力环境中则不然。社交联系作为一个有条件的中介发挥作用。

餐厅经理应优先提供优质服务和高水平餐饮, 同时投资于吸引人的用餐环境, 以鼓励游客分享他们的用餐体验, 借此促进口碑传播。在吸引力较低的环境中, 优惠券或折扣等外在激励可以有效促进美食自拍和分享行为, 进而推动社交商务意图。

本研究为美食打卡动机提供了新见解, 突显了经济激励的效果以及服务环境在社交商务行为中的作用。研究扩展了关于服务环境的文献, 阐释了其对游客分享、评论、点赞和复购行为的影响。

Esta investigación explora los mecanismos y condiciones que motivan a los comensales a participar en foodstagramming. Se centra en las motivaciones intrínsecas frente a las extrínsecas, así como en el papel del entorno gastronómico para facilitar la conexión social y la intención de comercio social.

Se realizaron dos experimentos basados en escenarios con participantes chinos. En el Experimento 1 (n = 219) se utilizó un diseño de un factor entre sujetos para comprobar el efecto de los incentivos de foodstagramming (intrínsecos vs. extrínsecos) en la intención de comercio social. En el Experimento 2 (n = 529) se empleó un diseño 2 (incentivo de foodstagramming: extrínseco vs. intrínseco) × 2 (atractivo del entorno: bajo vs. alto) entre sujetos para examinar la mediación de la conexión social y la moderación del atractivo del entorno.

Los incentivos intrínsecos mejoran de manera más efectiva la intención de comercio social de los turistas que los incentivos extrínsecos. El atractivo del entorno gastronómico modera esta relación. Los incentivos extrínsecos incrementan significativamente la intención de comercio social y la conexión social en entornos poco atractivos, pero no en entornos muy atractivos. La conexión social actúa como un mediador condicional.

Los gerentes de restaurantes deben dar prioridad a un servicio y una oferta culinaria superiores, e invertir en entornos gastronómicos atractivos para animar a los turistas a compartir sus experiencias gastronómicas, aprovechando la promoción boca a boca. En entornos menos atractivos, los incentivos externos, como cupones o descuentos, pueden animar a los clientes a hacerse selfies y compartirlos, impulsando así la intención de comercio social.

Este estudio ofrece nuevos conocimientos sobre las motivaciones para el foodstagramming, destacando la eficacia de los incentivos económicos y el papel del entorno del servicio en la influencia sobre los comportamientos de comercio social. Amplía la literatura sobre entornos de servicio explicando su efecto en los comportamientos de los turistas de compartir, comentar, dar “me gusta” y realizar compras repetidas.

With the increasing popularity of live streaming, the exploration of online behaviors on live streaming platforms has become a research hot spot in academia. However, the literature lacks cross-cultural investigations into live streaming addictive (LSA) behaviors among viewers. To address this gap, based on stimulus-organism-response (SOR) theory and motivation theory, this study investigates how information seeking, sensation seeking and community commitment (stimulus) affect hedonic and utilitarian motivation (organism), which in turn influence viewers’ LSA behaviors (response). This study also compares American and Chinese viewers to understand how LSA behaviors differ across national cultures.

We surveyed live stream viewers in both nations, collecting 758 valid samples including 377 Chinese respondents and 381 American respondents for use with the research model. A partial least squares (PLS) approach is employed for data analysis.

The results show that information seeking increases utilitarian motivation, sensation seeking increases hedonic motivation, and community commitment strengthens both hedonic and utilitarian motivation. Both hedonic motivation and utilitarian motivation positively affect LSA behaviors. In addition, based on cross-cultural analysis, we found that there was a significant mediating path common to the respondents in China and the USA (i.e. sensation seeking ? Hedonic motivation ? LSA).

The findings of this study make theoretical contributions to live streaming research and offer practical guidance for live streaming firms to formulate proper marketing strategies. Last, this study outlines several limitations and possible directions for future research.

This study aims to propose a research framework grounded in the technology acceptance model (TAM) to assess the new service experiences in the medical industry through examining the intention to use online-to-offline (O2O) medical platforms. It focuses on the connections between immediacy of connection, context-based affordability, reliability and perceived convenience and perceived usefulness. This study also looks at how these determinants affect users’ intentions to use O2O medical platforms, with a particular emphasis on the moderating effect of customer online reviews.

This study was a quantitative research endeavour grounded in the TAM model that analysed usage intention of O2O medical platforms. Conducted in Sarawak, within the Borneo region, a total of 251 rows of data were collected by questionnaire and underwent initial analysis using SPSS, followed by a more in-depth two-stage partial least squares structural equation model analysis conducted with SmartPLS4.

According to this study’s findings, perceived usefulness and perceived convenience are significantly impacted by the proposed predictors – immediacy of connection, context-based affordability and reliability. Furthermore, intention to use O2O medical platforms was discovered to have a positive and significant impact from perceived usefulness and perceived convenience. It is noteworthy that the association among perceived convenience and perceived usefulness – which leads to usage intention of O2O medical platforms – did not show the moderating effect of customer online reviews.

The findings suggested that context-based affordability, immediacy of connection and reliability need to be focused on by the information and communication technology developers, policymakers and medical professionals, as these variables can influence perceived convenience and usefulness, which will further impact the intention to use O2O medical platforms.

The formulated research framework holds significance in comprehending the usage intention of O2O medical platforms among consumers in Sarawak. O2O medical platforms have experienced global growth; however, limited studies were found in the Malaysian context. Hence, the objective of this study is to examine the intention to use O2O medical platforms in a relatively understudied area, specifically in Sarawak, an island located in Borneo, Malaysia.

Audit firms have a strong historical tradition of professionalism, but they are also commercial entities. This study aims to investigate the relationship between auditor cash compensation and office-level financial performance.

This study uses proprietary compensation expense and financial performance data from audit offices in China. Using the ordinary least squares regressions, this study tests the association between per capita compensation and office-level financial outcomes.

This study provides evidence that audit offices offering higher compensation achieve more profitable performance, as reflected in increased market share, higher return on assets and greater operating profit margins. Mechanism tests suggest that reductions in auditor turnover, driven by compensation incentives, partially account for this performance improvement. Additional tests show that the benefits of compensation incentives are particularly pronounced in audit firms licensed to conduct listed firm audits or when accompanied by staff training and technical development. Furthermore, both partner-level and staff auditor compensation significantly enhance office-level financial performance. The results might be of interest to both practitioners and regulatory bodies.

To the best of the authors’ knowledge, this study is the first to examine the relationship between auditor cash compensation and audit-office profitability. The findings highlight important policy implications for audit firms seeking to retain high-caliber auditors and maximize their economic benefits through human capital investments, including compensation, education, training and technical development.

In the context of severe environmental pollution and resource shortage, this study aims to examine how knowledge flows affect the green activities of firms. Specifically, this paper explored whether the firms’ knowledge flows, namely, knowledge inflow (KIF) and knowledge outflow (KOF), play a moderating role in relationship between corporate environmental responsibility (CER) and green innovation in Chinese high-polluting firms.

The analysis was carried out based on a panel data set of 305 heavy-polluting Chinese listed firms from 2010 to 2020. Meanwhile, this paper adopted the fixed model to empirically attest the proposed hypotheses regarding the relationships among CER, knowledge flows and green innovation.

The results indicate that there is a U-shaped relationship between CER and green innovation, while the two dimensions of knowledge flows exert opposing effects on the nonlinear link between CER and green innovation. Specifically, KIF positively moderates the effect of CER on green innovation, whereas KOF negatively moderates the effect of CER on green innovation.

This study demonstrates how green innovation can be influenced by CER and, moreover, provides a more nuanced understanding of the value of knowledge management (KM) in firms’ green activities. In this way, this paper answers the call for understanding the importance of green transformation in the context of KM.