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Drawing on the work as calling theory, the purpose of this study is to explore how and when career calling promotes taking charge by focusing on the mediating effects of work meaningfulness and felt obligation and the moderating role of family-friendly human resource practice (FF-HRP).

The authors collected data from 293 supervisor–employee dyads at three time points in southeastern China. Path analysis and bootstrap method were used for hypothesis testing.

Employees' perceived career calling positively affected taking charge through work meaningfulness and felt obligation. The positive effects of career calling on work meaningfulness and felt obligation as well as the indirect effect of career calling on taking charge are stronger when employees perceive high levels of FF-HRP.

Organizational interventions should be designed to enhance employees' sense of calling, and the organization should inspire employees to take charge by awakening their perception of work meaningfulness and obligation. Moreover, FF-HRP should be implemented as a form of organizational support.

This research identifies work meaningfulness and felt obligation as mediators that link career calling to taking charge and reveals the role of FF-HRP in amplifying the positive impact of career calling.

The purpose of this study is to understand how consumers' green trust and green brand equity (GBE) vary by perceived brand greenness and age in the US market from the lens of brand knowledge (brand awareness and brand image).

Three multiple-group comparisons of structural equation modeling were used to analyze the data collected from a questionnaire. An experimental design was applied (high vs. low perceived brand greenness). A total of 440 usable responses were collected from an online consumer panel. With a higher percentage of participants older than 60 years, two groups were used, younger (under 55) and older (over 55), within each brand condition to conduct age comparisons.

Consumers' previous brand experience is important. The most promising indicators are brand image and green trust for GBE. A difference was observed between the group comparisons. For the less perceived green brand, existing brand image played a more important role in the process, and there is a need to enhance its green trust. For the higher perceived green brand, more factors should be included to explain their GBE, especially for consumers under 55.

This study identified two moderators, perceived brand greenness and age, in the formation of GBE, which has not been widely explored in the literature. The findings provide significant insights for generational cohorts, focusing for the first time on the joint catalyst effect of greenness and age regarding the influence of GBE on consumers' commitment to green brands. Additionally, the fact that a higher percentage of participants are Baby Boomers enables this study to add to the existing body of literature and bring unique perspectives to understand their and their younger counterparts' attitude toward green consumption.

The purpose of this paper is to examine the information flows, in terms of content and process, underpinning the sharing of knowledge by managers and owners. Such an examination reveals similarities and differences that will influence the generation and dissemination of knowledge used in tourism business operations and contribute to innovation.

This paper examines information flows within the theoretical and methodological framework of social network analysis. The findings were derived from a quantitative study of tourism managers and owners of a tourism hub in South-West England.

The main finding was that network structure characteristics determine the flow of information within owners’ and managers’ social networks. The owners of smaller businesses received information from several sources and, therefore, had fewer structural constraints and reported larger structural holes. In comparison, the managers had more brokerage opportunities to disseminate the information within their social networks.

This paper highlights knowledge sharing between tourism business managers and owners in an open network structure. First, an open network structure builds innovation through the provision of nonredundant information. This is determined through the effective size of structural holes and the dissemination of information through brokerage roles. Second, the knowledge capability of a destination is built up through the social networking of managers and owners. The generation and dissemination of knowledge in a tourism destination are facilitated by the social networking activities of managers and owners.

Managers and owners of tourism businesses require knowledge through information to assist with innovative business practices. The practical implication of this is that the social networks of managers and owners have different network characteristics, and that these differences result in consequences for the innovation of business practices. Another practical implication relates to the importance of managers in knowledge dissemination based on having several brokerage roles in the tourism destination.

These findings are important because an understanding of social networks and the flow of information is one of the keys to determining the influences on knowledge sharing within tourism destination knowledge networks of owners or managers and their potential contributions to innovation.

The purpose of this paper is to explore structural drivers and barriers that distinguish US business school Principles of Responsible Management Education (PRME) signatories from nonsignatory peer institutions, and identify structural drivers of PRME institution strategic integration of Sustainable Development Goals (SDGs) into their ongoing responsible management education reports.

This study uses a case–control method to compare the US PRME signatory sample to a size-matched random sample of US business management programs/schools. This study uses conditional inference tree and correlation analyses to highlight distinctive structural characteristics associated with US PRME signatories and with their strategies to highlight sustainability through the SDGs.

There are significant and practically meaningful structural differences between US-based PRME signatories and US programs/schools that have not adopted the PRME principles. Further, PRME schools differentially integrate SDGs in their information sharing based on structural characteristics.

Understanding school/program characteristics that align with PRME and different sustainability strategies affords a better comprehension of where targeted resources might be most effective in broadening the appeal and adoption of PRME and subsequent sustainability strategy integration.

While previous work on PRME signatories has depended heavily on case studies of successful implementation and has examined the content of PRME activity by school, the present work compares the population of actual US signatories with a random sample of nonsignatories to determine leverage points for enacting broader PRME adoption. The study also examines the strategies that PRME schools use to integrate the UN SDGs and the structures that support such.

This study aims to examine configurations of person-centered psychological change during organizational restructuring and downsizing in a public sector setting. Drawing on a social cognitive framework of organizational change the authors explore and identify the existence of different groups of employees who demonstrate varied responses (on commitment, engagement and anxiety) to restructuring and downsizing.

Surveys were collected from employees in three longitudinal waves (Time 1 N = 253; Time 2 N = 107; Time 3 N = 93, twelve months apart) at a UK public sector organization shortly before, during and after restructuring and downsizing.

Three classes of response emerged based on levels of and change in anxiety, organizational commitment and work engagement: a positive “Flourishers” profile was identified along with two relatively negative response profiles, labeled as “Recoverers” and “Ambivalents”. Higher levels of job control accounted for membership of the more positive response profile; higher structural uncertainty predicted membership of the most negative response group.

Using a person-centered approach, the authors form an understanding of different types of employee responses to downsizing; along with potential factors that help explain why groups of employees may exhibit certain psychological response patterns and may need to be managed differently during change. Thus, this approach provides greater understanding to researchers and managers of the varied impact that restructuring/downsizing has on the workforce.

To date there has been little research exploring employee responses to organizational restructuring and downsizing that has attempted to take a person-centered approach, which assumes population heterogeneity. Unlike variable centered approaches, this unique approach helps identify different patterns of employee responses to restructuring and downsizing.

The purpose of this study is to further investigate the potential benefits brought about by the development of modern technology in the steel construction industry. Specifically, the study focuses on the optimization of tapered members for pre-engineered steel structures, aligning with Eurocode 3 standards. By emphasizing the effectiveness of material utilization in construction, this research aims to enhance the structural performance and safety of buildings. Moreover, it recognizes the pivotal role played by such advancements in promoting economic growth through the reduction of material waste, optimization of cost-efficiency and support for sustainable construction practices.

Structural performance at initial analysis and final analysis of the selected critical frame were carried out using Dlubal RSTAB 8.18. The structural frame stability and sway imperfections were checked based on MS EN1993-1-1:2005 (EC3). To assess the structural stability of the portal frame using MS EN 1993-1-1:2005 (EC3), cross-sectional resistance and member buckling resistance were verified based on Clause 6.2.4 – Compression, Clause 6.2.5 – Bending Moment, Clause 6.2.6 – Shear, Clause 6.2.8 – Bending and Shear, Clause 6.2.9 – Bending and Axial Force and Clause 6.3.4 – General Method for Lateral and Lateral Torsional Buckling of Structural Components.

In this study, the cross sections of the web-tapered rafter and column were classified under Class 4. These involved the consideration of elastic shear resistance and effective area on the critical steel sections. The application of the General Method on the verification of the resistance to lateral and lateral torsional buckling for structural components required the extraction of some parameters using structural analysis software. From the results, there was only 5.90% of mass difference compared with the previous case study.

By classifying the web-tapered cross sections of the rafter and column under Class 4, the study accounts for important factors such as elastic shear resistance and effective area on critical steel sections.

The purpose of this paper is to examine and compare the trend of intellectual capital disclosures (ICD) of Islamic banks under the International Financial Reporting Standards (IFRS) and Accounting and Auditing Organization for Islamic Financial Institutions (AAOIFI) regimes over a seven-year period (2012–2018).

A self-developed checklist was developed to measure the extent of ICD practices of Islamic banks in both regimes.

The results revealed a moderate increase in ICD practices over the period of the study. However, there is no significant difference in ICD between the two financial reporting regimes i.e. IFRS and AAOIFI-based banks. In fact, most of the IFRS-based banks have better ICD than AAOIFI-based banks throughout the analysis period. This study contributed to the ICD literature by introducing Shariah capital as a new category of information to disclose besides the common disclosure on human capital, relational and structural related information by the Islamic banks.

It is important for Islamic banks to distinguish themselves from conventional banks and ICD can be a conduit to show their uniqueness. The introduction of Shariah capital in this study reflects the main objective of Islamic bank’s existence, and it should become an important element in ICD. In fact, some form of guidelines or policy by regulating agencies could facilitate the ICD by Islamic banks and reflect the truth about their ability to capitalize on Intellectual capital and disclose about these practices to their stakeholders.

The introduction of Shariah capital as a new component to the existing components (i.e. human capital, structural capital and relational capital) of intellectual capital brings a new perspective to the research on ICD of Islamic banks. This paper further contributes to the scarce evidence of ICD of Islamic banks globally.

When retail businesses, especially small businesses with greater vulnerability, could not meet consumers in person during the recent pandemic crisis, how did they adapt to the situation? This study examined how small business practitioners (SBPs’) perceptions, trust and adoption intention levels for social media, as well as the relationships among these variables, changed before and during the crisis based on the integration of the contingency theory and the diffusion of innovation theory (DIT).

Online surveys were conducted with USA SBPs before (n = 175) and during (n = 225) the recent pandemic. The hypotheses were tested using structural equation modeling (SEM), multivariate analysis of variance (MANOVA) and multiple-group SEM analysis.

The results confirmed significant sequential positive relationships between SBPs’ perceived external pressure and perceived benefits of adopting social media, which in turn led to their trust in and then adoption intentions for social media. Further, the comparisons between the pre- and in-pandemic samples revealed that SBPs’ perceptions and adoption intentions all became significantly higher during (vs before) the pandemic, but the structural relationships among these variables weakened during the pandemic.

This study uses a novel approach to integrate the contingency theory with the DIT to propose small businesses' perceptions, trust and adoption intentions for social media during the innovation decision process under rapid contingency changes. Our findings also offer practical implications including recommendations for small businesses’ innovation management as well as training programs.

This study aims to illuminate Turkish gen Z players’ intention to make in-game purchases based on stimulus–organism–response (SOR) model and uncover the distinctive role of gender.

Six hundred and ninety-six young players were included in the research who are aged 12 to 29 in Istanbul, Türkiye. Measurement validity was checked via principal component and confirmatory factor analysis. Structural model testing, mediation and multigroup analysis were conducted to test relationships among latent constructs.

The study revealed enjoyment, perceived attractiveness and economic value were positively associated with gamer satisfaction, though connectedness was not. In addition, gamer satisfaction positively affected loyalty and loyalty predicted in-game purchase intention. On the other hand, the magnitude of enjoyment-gamer satisfaction path was greater in female players than in males. However, the effect sizes of perceived attractiveness and economic value on gamer satisfaction were larger in males than in females.

The research focuses on freemium game context, the sample of Istanbul province in Turkey, and gen Z (12 to 29) players constituting the limitations.

Mobile game producers should consider that enjoyment is more substantial for female players to increase in-game revenue. Hence, perceived attractiveness and economic value may be improved for male players. They could also balance the gaming experience by providing social connectivity and isolation.

It is the initial attempt to unveil Turkish young mobile players’ behavioral tendency toward paid in-game extensions. On the other hand, gender difference is a salient matter unnoticed by other investigations that the strength of stimulus varies from players’ gender discovered by the research.

Modeling helps to determine how structural parameters of fabric affect the surface of a fabric and also identify the way they influence fabric properties. Moreover, it helps to estimate and evaluate without the complexity and time-consuming experimental procedures. The purpose of this study is to develop and select the best regression model equations for the prediction and evaluation of surface roughness of plain-woven fabrics.

In this study, a linear and quadratic regression model was developed for the prediction and evaluation of surface roughness of plain-woven fabrics, and the capability in accuracy and reliability of the two-model equation was determined by the root mean square error (RMSE). The Design-Expert AE11 software was used for developing the two model equations and analysis of variance “ANOVA.” The count and density were used for developing linear model equation one “SMD1” as well as for quadratic model equation two “SMD2.”

From results and findings, the effects of count and density and their interactions on the roughness of plain-woven fabric were found statistically significant for both linear and quadratic models at a confidence interval of 95%. The count has a positive correlation with surface roughness, while density has a negative correlation. The correlations revealed that models were strongly correlated at a confidence interval of 95% with adjusted R² of 0.8483 and R² of 0.9079, respectively. The RMSE values of the quadratic model equation and linear model equation were 0.1596 and 0.0747, respectively.

Thus, the quadratic model equation has better capability accuracy and reliability in predictions and evaluations of surface roughness than a linear model. These models can be used to select a suitable fabric for various end applications, and it was also used for tests and predicts surface roughness of plain-woven fabrics. The regression model helps to reduce the gap between the subjective and objective surface roughness measurement methods.