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This paper aims to investigate the role-play of Protean Career Attitude (PCA) and Career Success (CS) in Affective Organizational Commitment (AOC).

A cross-sectional study on 376 employees from 55 hotels in Malaysia were conducted. The co-variance-based structural equation modeling was employed to analyze the data to test the direct and indirect relationships of PCA and CS with AOC.

The findings reveal that self-directed career attitude (SDCA) has a positive direct influence on AOC as well as indirect influence through the mediation of OCS and SCS. However, the value-driven career attitude (VDCA) neither influences AOC nor the OCS.

This is a first paper to body of knowledge in Asian context which identify mediating role of career success (SCA and OCS) to PCA and AOC. The findings of this research are the workplace learning in hospitality management. The authors argue that hotels should not assume spontaneously PCA with diminishing AOC, but rather hotels' attention is required to identify the most important preferences of these butterfly career attitudes such as OCS and SCS. Most importantly the research negates many negative labels of PCA and adds new perception to the contemporary career literature. Higher education institutions, government, and primary, secondary, and post-secondary education departments can play a significant role in developing PCA dispositions like SDCA and VDCA toward career success. Therefore, further study should examine PCA and their relevance to career outcome like job searching and employability of students in Malaysia. The paper is the first, to one's knowledge, to assess organizational commitment with specific measures of PCA. While the results are simple, they refute many stereotypes of the new career and, in that sense, add an important perspective to the career literature.

Despite the fact that fit positively influences customers’ attitudes toward companies, previous research reveals differing roles of fit in the domain of corporate social responsibility (CSR) based on criteria and degree. Because the impact of fit between customers and service companies in the domain of CSR remains unclear in the hospitality context, this study aims to examine the effects of different CSR types on customer–CSR fit, attitude and behavioral intentions in hospitality settings.

A total of 219 usable hotel customer responses were collected and analyzed using SmartPLS software.

Results show that companies’ demonstration of CSR toward social/nonsocial stakeholders is most effective for increasing perceived fit by customers, followed by CSR toward employees and toward customers. Also, this study identifies perceived fit as an indicator of customers’ positive attitudes and revisit intentions. This study enhances our understanding of relationships among three dimensions of CSR activities and customers’ responses.

This study provides guidelines with which hospitality companies can create sustainable growth by engaging the welfare of communities, employees and customers.

Predicting highly cited papers can enable an evaluation of the potential of papers and the early detection and determination of academic achievement value. However, most highly cited paper prediction studies consider early citation information, so predicting highly cited papers by publication is challenging. Therefore, the authors propose a method for predicting early highly cited papers based on their own features.

This research analyzed academic papers published in the Journal of the Association for Computing Machinery (ACM) from 2000 to 2013. Five types of features were extracted: paper features, journal features, author features, reference features and semantic features. Subsequently, the authors applied a deep neural network (DNN), support vector machine (SVM), decision tree (DT) and logistic regression (LGR), and they predicted highly cited papers 1–3 years after publication.

Experimental results showed that early highly cited academic papers are predictable when they are first published. The authors’ prediction models showed considerable performance. This study further confirmed that the features of references and authors play an important role in predicting early highly cited papers. In addition, the proportion of high-quality journal references has a more significant impact on prediction.

Based on the available information at the time of publication, this study proposed an effective early highly cited paper prediction model. This study facilitates the early discovery and realization of the value of scientific and technological achievements.

Open access (OA) has emerged as a modern academic publishing paradigm that strives to provide all members of society with free access to scholarly knowledge. This study aims to assess the behavior of faculty members to publish in OA journals from the perspective of the decomposed theory of planned behavior (DTPB).

A quantitative survey research design based on a cross-sectional survey approach was applied to investigate the phenomenon. The data were collected through a structured questionnaire from 338 faculty members of two large universities in Pakistan.

The findings of the study indicate that behavioral intentions (β = 0.664, p < 0.01), subjective norms (β = 0.159, p < 0.01) and perceived behavioral control (β = 0.238, p < 0.01) positively while attitude toward behavior negatively affected the actual behavior of the university faculty members to publish in OA journals.

The study offers theoretical implications for researchers and practical implications for educational authorities, policymakers and funding agencies.

The study fills the literature gap and offers insight into the OA publishing behavior of academicians from the perspective of DTPB.

Using a dynamic capability view, this study examined the relationships between big data analytics capability (BDAC), entrepreneurial orientation (EO) and sustainable supply chain performance (SSCP) by exploring the moderating role of trust among supply chain partners.

Questionnaires were collected from 300 manufacturing organizations using snow sampling. The moderating connections and direct relationships were examined using Hays' process macro and structural equation modeling.

BDAC was positively related to EO and SSCP. When supply chain partners experienced low levels of trust, an increase in BDAC did not enhance SSCP. As trust increased, the relationship between BDAC and SSCP became more positive, underpinning the moderating effects of trust. Moreover, trust did not moderate the relationship between BDAC and EO. The moderating effect of trust on the relationship between EO and SSCP showed a positive relationship between EO and SSCP when trust was low; however, the relationship became negative when trust was high.

Developing technology alone may not be sufficient, as supply chain managers need to establish a strong business relationship based on mutual trust. However, they also need to be aware of the dangers of high levels of trust because these may negatively affect performance. Therefore, supply chain managers need to achieve an optimal level of trust that is neither excessive nor insufficient.

Advances in technology and entrepreneurial drive for supply chain sustainability make it pertinent to examine trust levels among supply chain partners and the varying impact on BDAC, EO and SSCP. The current study shows the negative aspects of too much trust among supply chain partners.