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In today's complex and rapidly changing business environment, cross-boundary growth is increasingly critical to the survival or even success of organizations. The purpose of this study is to examine the forming mechanism of firm’s cross-boundary growth by integrating the two important antecedent factors of performance pressure and managerial discretion into a united framework and theoretically analyze the direct role of performance pressure on firm’s cross-boundary growth as well as reveal the moderating role of managerial discretion. Also, the authors select listed manufacturing companies in China as samples to empirically test the research hypotheses.

The authors design a multiple regression model to perform empirical analysis by using a panel of 4,002 year-observations in 1,334 listed manufacturing companies between 2013 and 2016. The sample data sources mainly come from the Wind Database, which is mainland China's leading financial database and software services provider. The hypotheses proposed are tested by adopting a panel data set of the listed manufacturing companies of China.

Empirical results show that performance pressure has a positive effect on the cross-industry growth and cross-domestic regional growth but a negative effect on the cross-international regional growth, and managerial discretion has a different moderating effect. Specifically, capital intensity strengthens the positive effect of performance pressure on cross-industry growth but weakens the negative effect of performance pressure on cross-international regional growth. State ownership enhances the positive effect of performance pressure on cross-domestic regional growth but decreases the negative effect of performance pressure on cross-international regional growth. CEO duality increases the negative impact of performance pressure on cross-international regional growth.

This study provides several implications for top executives, including how to dialectically consider the double-edged effect of performance pressure on cross-boundary growth of firms, create an appropriate environments of managerial discretion and design the types of cross-boundary growth strategies that top executives can follow in the volatility, uncertainty, complexity and ambiguity era.

Although the relevant literature highlights the importance of performance pressure, it has not been related to the cross-boundary growth of firms. This paper makes an incremental contribution to the literature on the forming mechanisms of firm’s cross-boundary growth by providing an important perspective of performance pressure to firm growth determinants and taking into account the moderating role of managerial discretion.

Emotions and emotional labor play a crucial role in professional interactions. Due to the increasing participation share of women managers in the workforce, especially in the customer-oriented service context, this study adopts a multilevel approach and mobilizes person–job fit theory to investigate whether the emotional labor of female managers influences the association between customer orientation and job satisfaction in frontline employees in a services setting.

The participants were 124 immediate female managers working in bank branches and their 896 customer-facing employees in China.

The results show that the positive relationship between customer orientation and job satisfaction in frontline employees is strengthened by increases in female managers' deep acting, but it is weakened with the increase in their surface acting.

The study findings provide support for scholars and financial service organizations as they seek to better understanding the dynamics behind the mobilization of women's emotions and their extent. In term of limitations, the data were taken from a single type of organization located in the northern cities of China, so it can be expected that the findings of this study will not generalize to all contexts.

This paper is the first to investigate female managers' emotional labor employing a cross-level analysis in financial services setting.

Artificial intelligence (AI) applications pose a potential threat to users' data security and privacy due to their high data-dependence nature. This paper aims to investigate an understudied issue in the literature, namely, how users perceive the threat of and decide to use a threatening AI application. In particular, it examines the influencing factors and the mechanisms that affect an individual’s behavioral intention to use facial recognition, a threatening AI.

The authors develop a research model with trust as the key mediating variable by integrating technology threat avoidance theory, the theory of planned behavior and contextual factors related to facial recognition. Then, it is tested through a sequential mixed-methods investigation, including a qualitative study (for model development) of online comments from various platforms and a quantitative study (for model validation) using field survey data.

Perceived threat (triggered by perceived susceptibility and severity) and perceived avoidability (promoted by perceived effectiveness, perceived cost and self-efficacy) have negative and positive relationships, respectively, with an individual’s attitude toward facial recognition applications; these relationships are partially mediated by trust. In addition, perceived avoidability is positively related to perceived behavioral control, which along with attitude and subjective norm is positively related to individuals' intentions to use facial recognition applications.

This paper is among the first to examine the factors that affect the acceptance of threatening AI applications and how. The research findings extend the current literature by providing rich and novel insights into the important roles of perceived threat, perceived avoidability, and trust in affecting an individual’s attitude and intention regarding using threatening AI applications.

The purpose of this paper is to examine how qualitative case research (QCR) has been conducted in the field of international entrepreneurship (IE) in terms of onto-epistemology and methodology. QCR can serve as an umbrella approach for contextualizing and capturing the complexity of IE opportunities, events, conditions and relationships, and to illuminate and enrich the understanding of related IE processes.

A thorough literature review was conducted of IE journal articles published between 1989 and mid-2017. This paper identified and analyzed 292 journal articles in terms of theoretical purpose and research design.

The findings suggest that the “positivistic” QCR is the customary convention of QCR in IE. “Exploratory” and “theory building” are the two most commonly pursued objectives. There have also been atypical practices and increased methodological rigor in recent years. Alternative paradigmatic QCRs that depart from positivistic assumptions are in an early stage of development in IE.

To the best of the authors’ knowledge, this is the first research examining QCR onto-epistemology and methodology approaches in IE, providing a useful state of the art that has been hitherto lacking in the literature. Based on this paper’s findings, the authors suggest that the IE field would benefit from greater methodological transparency in the reporting and writing of QCR. Also, the breadth of knowledge and legitimacy of the IE area would be enhanced through more studies involving unconventional (beyond positivistic) QCR.

The purpose is to examine the role of TQM in a strategy‐TQM‐performance model. More specifically, it seeks to investigate whether TQM has a driving role in the formation of strategy or has a mediating effect in the strategy‐performance relationship.

A survey was used to collect data. The instrument was assessed for its validity and reliability. Structural equation modelling was employed.

TQM influences strategy formulation process and it is a dynamic resource that contributes to the achievement of a sustainable competitive advantage. In addition, soft TQM has a higher impact than hard TQM on competitive strategy formulation and on performance.

The model developed and tested can be enriching to the TQM, strategic management, and quality management fields. Future research is recommended to use methods other than self‐report questionnaires and to account for certain behavioral factors that can influence the relationships investigated in the study.

The findings provide insights to the need to integrate TQM with the various stages of the strategy formulation process, with an emphasis on the soft elements of TQM, including customer satisfaction, management and leadership, and employee relations.

Despite the remarkable contributions of existent research, there is a lack of substantive research that examines the relationship between the hard and soft components of TQM on one hand and the two types of competitive strategy – differentiation and cost leadership – on the other. This gap is filled by this study.

The present study undertook an empirical investigation of entrepreneurship education, self-efficacy, need for achievement and entrepreneurial intention among Pakistan's commerce students.

The authors applied quantitative methods based on cross-sectional data. The commerce students of the different public sector universities are targeted through a random sampling technique. The authors used a survey questionnaire to attain the responses from respondents. Finally, 184 usable cases are utilized to assume the hypothesized paths.

By applying the structural equation modeling (SEM), the findings of the study demonstrate a significant positive effect of constructs of entrepreneurship education (EE), that is, opportunity recognition (OR) and entrepreneurship knowledge acquisition (EKA) on entrepreneurial self-efficacy (ESE), entrepreneurial intention (EI) and need for achievement (NFA). Besides, ESE and NFA are found to be the robust predictors of EI.

The findings provide significant guidelines to policy-makers and university authorities for developing useful EE courses to uplift and boost students' skills to face today's considerable business and entrepreneurship challenges. The study also helps to generate eagerness among students in selecting entrepreneurship as a career option.

This study suggests the confirmation of EE's significant role in developing ESE, NFA and EI among commerce students.

This study investigated the factors affecting online learning (OL) and stress and anxiety (SaA) during the COVID-19 pandemic in Saudi Arabia.

This study used a quantitative study and a survey questionnaire to collect the cross-sectional data. The authors sent 500 survey questionnaires to the respondents of which 262 samples were returned. This represented a 52% response rate. Finally, this study used 260 valid samples to derive this study’s findings.

Through structure equation modelling analysis, this study’s findings demonstrate that lack of time and support, technical problems and lack of technical skills negatively affect OL. In addition, this study’s findings show that cost and access to internet has a significant effect on OL. Finally, this study’s findings show that among Saudi Arabian university students OL is the significant predictor of SaA.

This study’s findings offer university authorities meaningful ways to identify replacements for the usage of harmful devices to lessen psychological problems during the COVID-19 pandemic. By pointing out students’ significant challenges and barriers during OL, this study’s findings support the smooth and parallel running of OL. Such challenges cause deprivation and frustration among the students. Therefore, to some extent, it may be a violation of their human rights. In this way, this study’s findings demonstrate how to overcome these violations.

By exploring the significant challenges faced by Saudi Arabian university students, this study’s findings offer an original and empirical contribution to the literature.

Mobile learning has emerged as one of the main methods for training and academic activities in the present era. It is, also, highly relevant in the wake of the COVID-19 pandemic whereupon digitization of mobile learning has made it possible for many students to continue with their education. This study investigated attitudes and intentions towards the adoption of mobile learning in vocational education.

This is a quantitative study based on cross-sectional empirical data. In targeting vocational students throughout Pakistan, the study used a survey questionnaire with a convenience sampling method. From the responses to the questionnaire, 320 samples were used to obtain the study outcomes.

The structural equation modeling’s (SEM) findings reveal that learning autonomy (LA), mobile device self-efficacy (MDSE), task-technology fit (TTF), perceived ease of use (PEOU), perceived usefulness (PUS) and perceived enjoyment (PE) have a positive and significant effect on mobile usage attitudes (MUA) and intentions to adopt mobile learning (ITAML). Moreover, this study’s findings confirm, also, MUA’s predictive power on ITAML.

Further, this study’s findings encourage individuals to use mobile devices to properly promote knowledge in society. In addition, this study’s findings support vocational institutions’ operators’ and policymakers’ development of online education and training strategies to resist the complications arising from the transmission of COVID-19. Moreover, this study’s findings open new doors when conducting similar research studies on students’ perceptions and learning behaviors.

The empirical investigation of attitudes and intentions to adopt mobile learning in the context of COVID-19 helps potential adopters to test the likely behaviors.