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The purpose of this paper is to assess the validity and utility of two theoretical approaches to understanding the relationship between strategic orientations, innovation and firm performance and to examine the role of innovation in the relationship while avoiding circular arguments. The universalistic approach suggests that strategic orientations have independent and parallel effects on firms’ performance, and that innovation does not influence this relationship. The holistic approach proposes that strategic orientations in a complementary and interrelated view have both direct and indirect effects on firms’ performance through innovation.

A meta-analytic path analysis applying two-stage structural equation modeling (TSSEM) was conducted on data from 132 primary studies and 33,063 observations.

The holistic approach was demonstrated to be superior due to its more explanatory power in linking more complex relationships through simultaneous direct and indirect effects and its capacity for including the interrelatedness and complementarity of strategic orientations. It was found that innovation has a full mediating role in the relationship between entrepreneurial orientation (EO) and firm performance, and a partial mediating role in the relationship between market orientation (MO) and learning orientation (LO) and firm performance.

The study used observed variables instead of latent variables for meta-analytic path analysis, which may reduce some sources of endogeneity. However, causal inference is not possible due to the nature of meta-analysis. The scope of the final sample was limited by some studies not reporting the estimates of correlations between constructs.

Managers can improve an organization's chances of success in the marketplace by adopting a holistic view of strategic orientations focusing on customer satisfaction, learning from the external environment and pursuing new market opportunities. Furthermore, an organization can gain a competitive advantage through innovation by creating products and services that are different from what is currently available in the market. To be successful, an organization must not only create innovative products and services but also market them effectively to consumers.

This study is the first to meta-analytically assess the explanatory value of two theorized models linking strategic orientations, innovation and firm performance. It also clarifies the role of innovation in the relationship between strategic orientations and firm performance.

Product rebranding is increasingly popular, but brand managers are sceptical about its implications on brand loyalty (BL). Given the limited empirical literature on the subject, this study examines the interrelational effect of brand attachment (BA), brand distinctiveness (BD) and consumer attitudes (CA) towards product rebranding on brand loyalty (BL).

The study adopted the quantitative survey design and used questionnaire to gather data from 349 consumers of rebranded water, alcoholic and non-alcoholic beverages. Structural equation modelling was used to analyse the data. This study integrates psychology theories into brand management research to propose and test a holistic model.

The study found a significant effect of BA on CA toward product rebranding, and CA toward product rebranding fully mediates the relationship between BA and BL. Furthermore, BD has a significant effect on BL, and further moderates the relationship between BA and BL.

This study offers a fresh theoretical foundation, conceptual clarity and understanding of how rebranding specific brand elements affect the attitudes and BL of consumers who are emotionally connected to a brand. This paper offers practical insights into the implication of product rebranding on CA, BD and BL. It reveals a holistic guidance to brand managers on how to use their unique knowledge about their consumers to create distinctive brands and emotional affection, passion and connections to their brands.

The purpose of this paper is to assess the suitability of Botschen et al.’s (2017) Brand-driven Identity Development of Places (BIDP) framework to support places in developing their brand-driven identity and offering sustainable tourism models.

This paper applies design science research (DSR) to evaluate the BIDP-framework. A qualitative methodology is used, bringing together findings from four different case studies and from existing academic literature to make relevant suggestions for the improvement of the framework.

The findings indicate that the BIDP-model represents a valid artifact for the development of a brand-driven place identity, but that there is room for improvement.

This paper adopts a DSR approach in a managerial context and shows its validity for evaluating a place branding framework. Moreover, it provides implications not only for managers directly involved in place branding, who can benefit from the model assessment and its suggestions for improvement, but also for tourists and local communities, who will take advantage of more sustainable branding models that better integrate the needs of local actors.

This study aims to evaluate the users’ behavioral intention toward the acceptance and adoption of digital payment FinTech services in India. The study also compares the differences in Gen Y and Gen Z’s intention to adopt digital payment FinTech services.

The present study adopted both the unified theory of acceptance and use of technology (UTAUT) and the technology acceptance model (TAM) as its theoretical base and also added financial literacy and customer satisfaction. The data was analyzed by applying structural equation modeling using SmartPLS 4.

The outcomes of the study imply that customer satisfaction, effort expectancy and performance expectancy had a significant effect on behavioral intention. Moreover, effort expectancy, performance expectancy and perceived enjoyment had a significant influence on customer satisfaction, and effort expectancy and performance expectancy is significantly influenced by perceived enjoyment, while self-efficacy significantly influenced perceived enjoyment. Also, financial literacy does not moderate the relationship between effort expectancy, performance expectancy, facilitating condition and behavioral intention. Furthermore, the association of effort expectancy → customer satisfaction; perceived enjoyment → customer satisfaction; and perceived enjoyment → effort expectancy is moderated by age factor.

This study contributes by developing a more cohesive and unified model for assessing users’ behavioral intention toward acceptance and adoption of FinTech services by adopting constructs from the UTUAT and TAM and incorporating financial literacy and customer satisfaction to expand and enhance the theoretical prospect of the existing literature.

Despite the increasing role of the data warehouse as a supportive decision-making tool in today's business world, academic research for measuring its effectiveness has been lacking. This paucity of academic interest stimulated us to evaluate data warehousing effectiveness in the organizational context of Jordanian banks.

This paper develops a theoretical model specific to the data warehouse system domain that builds on the DeLone and McLean model. The model is empirically tested by means of structural equation modelling applying the partial least squares approach and using data collected in a survey questionnaire from 127 respondents at Jordanian banks.

Empirical data analysis supported that data quality, system quality, user satisfaction, individual benefits and organizational benefits have made strong contributions to data warehousing effectiveness in our organizational data context.

The results provide a better understanding of the data warehouse effectiveness and its importance in enabling the Jordanian banks to be competitive.

This study is indeed one of the first empirical attempts to measure data warehouse system effectiveness and the first of its kind in an emerging country such as Jordan.

This paper aims to explore the significance of resource sharing in business to capture new market opportunities and securing competitive advantages. Firms enter strategic alliances (SAs), especially for designing new products and to overcome challenges in today’s fast changing environment. Research projects have dealt with the creation of SAs, however without concrete referencing the impact on selected supply chain resources. Furthermore, academia rather focused on elaborating the advantages and disadvantages of SAs and how this affects structural changes in the organization than examining the effects on supply chain complexity and performance.

The authors collected and triangulated a multi-industry data set containing primary data coming from more than 200 experts in the field of supply chain management along and secondary data coming from Refinitiv’s joint ventures (JVs) and SA database and IR solutions’ database for annual reports. The data is evaluated in three empirical settings using binomial testing and structural equation modeling.

The results show that nonequity SAs and JVs have varying degrees of impact on supply chain resources due to differences in the scope of the partnership. This has a negative impact on the complexity of the supply chain, with the creation of a JV leading to greater complexity than the creation of a nonequity SA. Furthermore, the findings prove that complexity negatively impacts overall supply chain performance. In addition, this study elaborates that increased management capabilities are needed to exploit the potentials of SAs and sheds light on hurdles that must be overcome within the supply network when forming a partnership. Finally, the authors give practical implications on how organizations can cope with increasing complexity to lower the risk of poor supply chain performance.

This study investigates occurring challenges when establishing nonequity SAs or JVs and how this affects their supply chain by examining supply networks in terms of complexity and performance.

We explore the skills required for digital leadership for reshaping existing business models toward digital models. Digital leadership is pivotal in gaining a competitive advantage and achieving successful digital transformation. However, little is known with regard to the underlying mechanisms related to digital leadership and transformation.

Data are collected through semi-structured interviews involving 20 participants from five Pakistani textile companies. Thematic analysis was employed as a data analysis tool.

Findings show that certain skills such as technological know-how, innovativeness, adaptability, ability to lead and steer, honesty, integrity, transformative vision, communication and collaboration are conducive to successful digital transformation in textile manufacturing firms. Similarly, digital leaders can significantly enhance business model innovation, create value for the firm, help develop new products (value proposition) and create Ecosystem partnerships (value network).

This article bridges gaps between existing literature on digital transformation and leadership. Digital leadership skills for digital transformation and the role of digital leaders in business model innovation have not been explored before. The conceptual framework is put forth, propositions are proposed and the findings offer some future research directions.

This study aims to explore the holistic context of organisational staff retention in small, medium and large organisations. It also aims to identify the factors affecting the retention of organisations of different sizes.

The study implements an empirical test of a model created during previous research with the participation of 511 employees. The responses to the online questionnaire and the modelling were analysed using the partial least squares structural equation modelling method. The models were tested for internal consistency reliability, convergent and discriminant validity, multicollinearity and model fit.

Two models were tested by organisation size, which revealed a total of 62 significant correlations between the latent variables tested. Identical correlations were present in both models in 22 cases. After testing the hypotheses, critical variables (nature of work, normative commitment, benefits, co-workers and organisational commitment) were identified that determine employees’ organisational commitment and intention to leave, regardless of the size of the organisation.

As a result of this research, the models developed are suitable for identifying differences in organisational staffing levels, but there is as yet no empirical evidence on the use of the scales for homogeneous groups of employees.

The results show that employees’ normative commitment and organisational commitment are critical factors for retention. Of the satisfaction factors examined, the nature of work, benefits and co-workers have a significant impact on retention in organisations, so organisational retention measures should focus on improving satisfaction regarding these factors.

The readers of the journal would appreciate the work, which highlights the significance of employee psychology and retention for organisational success.

The study is based on primary data and, to the best of the authors’ knowledge, is one of the few studies that take a holistic approach to organisational staff retention in the context of the moderating effect of organisational size. This study contributes to a comprehensive understanding of the phenomenon of employee retention and in contrast to previous research, examines the combined effect of several factors.

Despite the burgeoning interest in corporate universities (CUs), their pragmatic application and ongoing evolution present challenges. This study aims to analyze the South Korean CU landscape from a balanced perspective to draw implications for the sustainable development of CUs.

The study uses a case study method to systematically explore CUs in South Korea by reviewing the South Korean government reports on CUs. The cases of CUs are analyzed based on the holistic model of CUs, which functions as an analytical framework.

By analyzing four groups of CUs, namely, in-house colleges, corporation colleges, technical colleges and in-house college-type lifelong educational establishments, implemented in South Korea, this study draws implications for the sustainable development of CUs, using the holistic CU model.

By analyzing cases of CUs from a new perspective, this study contributes to expand knowledge on CUs and suggests implications for organizations aiming to establish and sustain their own CUs tailored to their specific needs. Furthermore, this paper delves into the support necessary for the successful implementation and sustainable development of CUs, spanning organizational/team, national and individual levels.

This study investigates the enablers and challenges of digital supply chains (DSCs) adoption and develops a digital supply chain maturity (DSCM) model as a basis for developing guidelines for DSC adoption in the digital transformation journey.

The research involves a systematic literature review (SLR) of Industry 4.0 (I4) adoption in supply chain (SC) practices to identify key enablers and associated maturity levels. The literature search of published articles during the 1997–2020 period and subsequent screening resulted in 64 articles. A DSCM model was developed using the categorization of important enablers and associated levels transitioning from the traditional SC to the DSC ecosystem.

Four broader categories of DSC enablers and challenges were identified from the content analysis of SLR. Digital strategy alongside I4 technologies and human capital were prominent in DSC adoption as I4 technologies and human capital depend on other enablers such as dynamic capabilities (DCs). Lack of infrastructure and financial constraints to implementing I4 were significant challenges in the DSC adoption.

The proposed DSCM model provides a holistic view of enablers and maturity levels from traditional SC to DSC adoption. However, the DSCM model needs to be empirically validated and streamlined further using inputs from practitioners.

The proposed DSCM model can be used as a framework to guide practitioners in assessing maturity and developing implementation plans for successful DSC adoption.

This research introduces a novel DSC maturity model through a holistic view of enablers and maturity levels from traditional SC to DSC adoption.