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Present study investigated the influence of female descendent entrepreneur's self-compassion on the perceived succession success of small-family businesses (S-FB) with the mediating mechanism of financial literacy.

The primary data was collected from 319 female descendent entrepreneurs who were designated as chairwomen, and managing director positions in their retails sector S-FBs. The purposive sampling technique was used to collect the data. The provided hypotheses are tested using the partial least square structural equation modeling (PLS-SEM) technique. This study followed multiple regression analyses to see the influence of self-compassion (mindfulness, self-isolation, self-judgment and over-identification) on financial literacy and perceived succession success.

The results reveal that female descendent entrepreneurs mindfulness and over-identification significantly increase but self-isolation decreases the likelihood of successful succession transition. Moreover, female descendent entrepreneur's financial literacy increases mindfulness and overidentification while it decreases self-isolation and improves the likelihood of succession success. However, financial literacy does not influence self-judgmental traits and perceived succession success.

This study highlights a vital issue, how the financial literacy of female descendent entrepreneurs manages their self-compassion and increases the likelihood of succession success. In addition, it covers a research gap and helps the S-FBs to improve their survival rate by focusing on the descendent entrepreneur's self-compassion and financial literacy.

This study contributes to the body of knowledge by emphasizing predictors that influence the successful succession transition to subsequent generations. This study determines the influence of self-compassion of female descendent entrepreneurs on perceived succession success and financial literacy as a mediator by using the self-control theory. The study can be useful to family business consultants, policymakers and family businesses.

The purpose of this study is to investigate how the congruence between predecessor and successor personality traits (PTs) with the values of their small family business (SFB) contributes to a successful succession transition across generations.

The conceptual model method was employed in this investigation, which describes an entity and identifies issues that should be considered in a study (MacInnis, 2011). It involves a form of theorizing that seeks to create a nomological network around the focal concept, to examine and detail the causal linkages and mechanisms at play (Delbridge and Fiss, 2013).

Drawing on the trait activation theory (TAT), this study conceptualizes that the congruence of the successor's PTs with those of the predecessor, as well as the values, transitions and nature of the assigned task, activates the successor's PTs and motivates him to work diligently for a successful succession transition while preserving the business's core values established by the founder.

This study is an eye-opener for strategists and SFB predecessors to ponder the successor's PTs disparities across generations. Additionally, it urges them to consider the congruence of SFB's values and nature of operations with the successor's PTs for successful succession transition. Thus, such awareness may contribute to stabilizing the SFB's survival rate.

This study contributed to the existing literature by answering how predecessor’s and successor's PTs congruence and SFB's values and nature of operations congruence with their PTs may contribute to successful succession transition across generations. This study contributed to the TAT by thematically explaining the organizational cues to bridge a relationship between entrepreneurial personality traits (EPT) and succession success of SFBs.

The succession phenomenon in family-owned businesses (F-OB) determines their future viability and success. This study aims to provide insight into key research areas related to F-OB’s succession and identify gaps in current literature that can be explored in future research.

The research article analysis was conducted using bibliometric techniques with VOS viewer and R-Studio Software. This study analyzed 799 articles from the Web of Science (1993–2023) to assess succession in F-OBs and future research directions.

This bibliometric study provides evolutionary publication trends on the succession of F-OBs. It also identified journals, universities, future trends, thematic maps, cluster networks, authorship countries, theoretical lenses and research gaps linked with F-OB’s succession.

This study focuses on the trends and research themes that have influenced and progressed the comprehension of succession phenomena and dynamics associated with the survival of F-OBs. By conducting a bibliometric analysis of these influential studies, the research provides an overview of significant advancements. It highlights gaps that can be addressed as future research opportunities to enhance the succession processes of F-OBs.

The digital transformation of family-owned small businesses (F-OSBs) has become a critical area of research to maintain their economic contribution in today’s rapidly evolving digital landscape. This study examines the effect of internet entrepreneurial self-efficacy on the digital transformation of F-OSBs by mediating strategic agility and moderating artificial intelligence usage.

This study employed a cross-sectional survey design to collect primary data from 378 descendent entrepreneurs of F-OSBs in Pakistan’s five major cities.

The study revealed that leadership ability, internet marketing, technology utilization, and artificial intelligence used by the F-OSBs can contribute to their digital transformation, but e-commerce ability does not. The strategic agility of the descendant entrepreneur enhances the abilities of e-commerce, leadership, and technology utilization, leading to the digital transformation of F-OSB. However, strategic agility reduces the role of Internet marketing in digital transformation. Artificial intelligence usage moderates leadership’s ability to improve strategic agility but increases technology utilization for strategic agility and digital transformation of F-OSB.

The digital transformation through a combination of strategic agility and artificial intelligence can increase the F-OSBs' proactive approach to respond to changing market conditions even during economic recessions like COVID-19.

This study broadens the existing literature by examining the effect of descendent entrepreneur’s internet entrepreneurial self-efficacy, strategic agility, artificial intelligence usage, and their interplay on the digital transformation of F-OSB through the unified theory of acceptance and the use of technology.

The research on consumerism has been dramatically rising in recent decades. However, in the food industry, little research has been empirically conducted in the beverage industry. This research empirically tests the consequences of consumer perceptions: perceived price (PPR), perceived quality (PQ), perceived packaging (PPG) and perceived taste (PT) on repurchase intention (RI) particularly; it unveils the consumer attributes, e.g. gender, age and ethnicity between consumer perceptions and RI of the consumers.

The data were collected from 403 consumers of the beverage industry (e.g. Nestle, Mitchell's Fruit Farms, Murree Brewery and OMORE) in Pakistan. The researchers used online survey questionnaires followed by a cross-sectional approach because data collection physically was not possible due to COVID-19.

Data were analyzed by Smart partial least square structural equation modeling (PLS-SEM) 3.3.3, and the results supported the significant influence of consumer perceptions separately, e.g. PPR, PQ, PPG and PT on RI. Additionally, gender, age and ethnicity were found to have a moderating role between consumer perceptions and RI, so, the truth of having consumer attributes has been revealed.

The managers of beverage industries should provide ethical and operational strategies to tackle consumer's problems based on cultural norms. Furthermore, they should make sensible measures for the quality branding of the beverage products. In this way, the consumers will have a better experience of quality, price, taste and packaging, in turn, to RI.

This research targeted the beverage industry that needs facts and figures based on consumer attributes, e.g. age, gender and ethnicity. This research also disclosed the behaviors of consumers according to their gender, age and area of residence.

Around 87 percent of employees are not engaged in their work and 82 percent have withdrawal intentions across the globe. Considering these emerging challenges the purpose of this paper is to investigate the associations between inter-role conflicts, work engagement and turnover intention considering person-job-fit (PJF) as a moderator.

The data from 343 Punjab police employees were collected on a convenience basis through a questionnaire-based survey. The study used the second generation data analysis technique (i.e. structural equation modeling) in two stages.

The results found work engagement as a mediator between inter-role conflicts and turnover intention. In addition, PJF was found to moderate these relations.

This study collected data from a single province of the county. The study has implications for the academicians and policymakers.

Considering the emerging challenges to policing, this study is first of its kind to examine the moderating role of PJF. This theoretical model is developed on the basis of conservation of resource theory and field theory.

In the context of digital public governance of the 21st century, recommender systems serve as a digital tool to support decision-making and shift toward proactive public services delivery. This paper aims to synthesize an algorithm for public recommender systems deployment coherent with the digital transformation of public services in three Russian regions: the City of Moscow, Moscow region and Astrakhan region.

The studied regions serve as an adequate representation of the country’s population coverage carrying, at the same time, diversity of public governance structures in qualitative and quantitative terms. Thus, the authors were able to retrieve both commonalities and particularities in locally applied policies to create an algorithm model for governance high-tech decision support systems (DSS) deployment in management terms. Therefore, the authors use structural and functional analysis to derive the matters for further induction into our algorithmic model.

The proposed algorithmic model is developed under the framework of automated verification of current public service delivery mechanisms. The practical application of recommendation systems as a special case of DSS is shown in the example of public service delivery. It is assumed that following the developed algorithm leads to the “digital maturity” of a particular sector of public governance.

The paper holds a novel look at public services digital transformation through the application of recommender systems, which is evidenced by the algorithmic model approbation on the theoretical level.

This study is among the very few to examine the firm's simultaneous use of both dimensions of open innovation and its influences on the firm's process innovation performance (PIP). Specifically, the authors consider the relationship between firm's external technology acquisition (ETA) and external technology exploitation (ETE) and examine their direct, indirect and mediating effect on the firm's PIP. The authors also examine the moderating effect of the organizations' unabsorbed slack (UASL) on the relationship between ETA and ETE.

Analyzing data collected from 311 small- and medium-sized software development firms in emerging market; Thailand, we show that both ETA and ETE have a positive effect on PIP and that ETE fully mediates the relationship between ETA and PIP.

The authors show that both ETA and ETE have a positive effect on PIP and that ETE fully mediates the relationship between ETA and PIP. Moreover, the relationship between ETA and ETE is positively moderated by the firms' unabsorbed slack (UASL) and that the influence of ETA on PIP through ETE is stronger under higher unabsorbed slack.

The authors extend the “traditional” performance outcome of outbound dimension of open innovation concept, which focuses exclusively on commercialization and market (Chesbrough, 2003b), by showing that ETE positively influences the firm's PIP. Moreover, the study explains the mechanism through which ETA influence the firm's PIP by proposing that ETE fully mediates the relationship between ETA and PIP.

The purpose of this paper is to examine the reasons behind low penetration of Islamic banking in Pakistan. Specifically, the study investigates the differentiation of Islamic banks (IBs) from conventional banks, the role of religion in choosing Islamic banking and the perception of IBs amongst the consumers.

The study uses a mixed-method approach, qualitative research along with a survey of users of conventional and Islamic banking. Factor analysis identified underlying dimensions and cluster analysis ascertained the differences between users and non-users of Islamic banking. Inferential statistics were used to test purported hypotheses.

The study finds that the users and non-users both perceive that Islamic banking is not completely interest-free. Furthermore, consumers presume that IBs are more of eyewash and are not truly practicing Islamic banking. Moreover, religion is not a major factor that attracts new users but there are also other important factors in marketing Islamic banking, such as service quality, convenience, branch network, etc.

This is one of the sparse studies in the field of Islamic banking consumer behaviour, which uses focus groups of users and non-users, and in-depth interviews of experts, to identify the issues and factors considered relevant and important by the users rather than relying only on literature review. Furthermore, it also provides a profile of users versus non-users of Islamic banking which is very useful for segmentation and targeting of customers.

The purpose of this paper is to investigate the relationship between uncertain political events and Pakistani Stock Markets from May 1999 to December 2011.

Using the mean-adjusted return model and event study methodology and by comparing the market efficiency between the two government style, i.e. autocratic and democratic, the authors determined that how uncertain political events are affecting Pakistani Stock Markets.

The empirical result shows that political events have an impact on the Karachi Stock Exchange (KSE) returns. Moreover, the paper derives from the results that the KSE is inefficient for a short span of time, after 15 days KSE absorbs the noisy information. The political situation in Pakistan was more stable in autocratic government structure than in democratic structure but it is difficult to state that the stock markets are more efficient in Autocracy because only few events took place during an autocratic regime and magnitude of events was not same in the autocratic and democratic government structure.

This study is unique in its nature as it examines the effect of multiple political events on stock market returns in Pakistan simultaneously and is expected to contribute significantly in the capital market literature of Pakistan in particular.