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This study seeks to investigate how managerial assumptions shape international market orientation (IMO) and how IMO, in turn, affects the performance of small and medium-sized enterprises (SMEs), drawing from cognitive theory and the resource-based view (RBV) to provide the theoretical framework.

The study focuses on the relatively unexplored domain of small and medium-sized enterprises (SMEs) in Japan. A survey was developed and tested using data from 303 Japanese SMEs. The study model was subsequently analyzed using the partial least squares (PLS) technique.

The study reveals a nuanced relationship between managerial frames of reference (FoRs) and IMOs. The results confirmed notable congruence between interfunctional market orientation and managers who exhibit a political FoR. They also revealed a positive correlation between professional FoR managers and customer market orientation. Additionally, the findings showed that entrepreneurial FoR managers displayed a significant association with competitive market orientation and Bureaucratic FoR matched with the three types of IMO. Finally, the results indicate that all three forms of IMO have a substantial impact on performance, albeit to varying degrees.

The applicability of our results to multinational corporations (MNCs) has not been evaluated. Since the primary focus was to identify the types of associations among FoR and IMO, the causal pathways and explanatory factors that underpinned these observed relationships were not examined in this study. Additionally, due to the geographical concentration of our sample in Japan, we were unable to conduct tests on the suggested model in other countries to validate and potentially generalize the research findings.

By developing an implicit understanding of the market orientation fit within the organization’s FoR, managers can enhance their understanding of competitors' activities and enable them to respond with greater efficiency.

To the authors’ knowledge, this is one of the rare papers that inspect the relationship between International market orientations and managerial assumptions as well as their effect on performance.

This conceptual paper aims to shed light on the nature and determinants of managerial behaviour when affected by supply chain disruptions. It aims to argue that the managerial decision‐making process is an important component in determining the eventual long‐term impact of a supply chain disruption.

The paper introduces a continuous simulation model that is based on a Bayesian robot decision‐maker. Using the system dynamics approach, it illustrates the process of evaluating competing hypotheses of functional vs dysfunctional supply chain design in a disruption scenario. Model validity is assessed by means of a case study based on secondary data.

The model provides insight into the drivers of decision‐maker confidence dynamics that are used when evaluating the competing hypotheses. Furthermore, it identifies the psychological distortions that make actual managerial inference processes different from the Bayesian robot and incorporate these adjustments into the system dynamics model. Several propositions about the nature and determinants of decision‐maker confidence are stated.

For policy makers, the paper clarifies the important moderating role of confidence in the realisation of wider implications of supply chain disruptions, especially from the perspective of industrial development, and trade and transport facilitation.

The research enhances understanding of the wider implications of supply chain disruptions, contributing to behavioural research in logistics and supply chain management.

The purpose of this research was to explore managers' perceptions related to the emerging needs, roles, values, responsibilities and commitments of millennials in the multi-generational workplace, and to determine how managers may effectively recognize and use millennial contributions to enhance the organizational culture and infrastructure.

This qualitative, narrative inquiry study utilized semi-structured interviews to capture collective insights of managers who lead millennials within multi-generational teams. All researchers used an interview protocol with each participant to maintain integrity. Data analysis included the creation of a code manual which was developed utilizing the first five interviews. The code manual included definitions, descriptions and exemplar text and was then used to code all remaining interviews.

Data are presented through three key areas of exploration: The contributions of millennials in multi-generational workplaces, the evolution of managerial views of millennials and the tactics managers use for millennial management in multi-generational teams.

Scholarly literature has clearly presented perceived qualities millennials bring to the workplace, including poor communication, advanced technology skills, overconfidence, and a need for work–life balance. This study seeks to provide an understanding of the generation, through the lens of their managers.

The purpose of this paper is to delineate a research agenda to guide future service research investigating the digital transformation of financial service systems through Fintech – disruptive innovations by new market entrants that challenge the position of mainstream financial institutions.

Rooted in the philosophical foundations of “use-inspired research,” this paper addresses the managerially and societally relevant phenomenon of Fintech by identifying, and responding to, the individual challenges and problems associated with the digital transformation of financial services. This is accomplished through a computational text-mining approach to analyze the corpus of 1,545 published practitioner articles associated with Fintech, identification of managerial challenges therein and subsequent delineation of a novel research agenda.

By connecting managerial challenges relating to Fintech with the service literature, this paper develops a use-inspired research agenda that provides scholarly and managerially relevant research directions (RDs). These pertain to the complexity of digital financial service systems (micro level), orchestration of value co-creation with Fintech (meso level), and the development of elastic infrastructures, models and markets (macro level).

Fintech is an emerging phenomenon associated with the digital transformation of financial services. However, actual guidelines on how service research related to Fintech could be advanced from a theoretically as well as managerially relevant angle are unavailable to date. Here, the authors address this challenge and provide the field with 18 tangible RDs to advance service theory and practice.

The purpose of this paper is to guide future academic research addressing managerial challenges associated with Fintech and the digital transformation of financial service. Due to the explicit use-inspired nature of the work, the future research stemming from the agenda that the authors put forward here will be of benefit to decision makers and society more broadly.

This empirical research contributes to the discourse regarding the role of information and communication technologies in service in general, and the digital transformation on financial services in particular. The in-depth computational text-mining analysis is unbiased, replicable and provides the foundation for a use-inspired research agenda that is subsequently delineated.

The study investigates the factors that influence young consumers (Gen Zs and Ys) in emerging markets to engage fashion ads of non-luxury fashion retail small- to medium-size enterprises (SMEs) on social media. Through a desk assessment of practice and the phenomenon's available evidence in the extant literature, four main drivers were delineated, reviewed and subsequently tested to influence young consumers' behavioural engagements of emerging markets' fashion SMEs' social media contents.

A non-probability sample of 1,150 respondents (Gen Y and Z combined) in Ghana, an emerging market, formed the sample for the study. The respondents assessed four empirically identified antecedents (sales campaigns, relevant sales-related information, catchy and inspiring product/brand photo/video and consumer-generated contents) that are likely to influence their behavioural engagement on social media platforms (Instagram, Facebook, WhatsApp and Twitter). SmartPLS (version 3.3.3) was employed to perform partial least square structural equation modelling.

The results showed that to engage fashion-related ads, particularly from non-luxury fashion SMEs, young consumers consider sales campaigns, cues from consumer-generated contents, as well as quality and inspiring videos and photos. Less attention is given to relevant sales-related information.

The three significant drivers of engagement found in the current study provide managerial knowledge for non-luxury fashion SMEs in emerging markets. Videos and still pictures must be of high definition and quality. Short and long promotional campaigns may drive positive behavioural engagements. Interactivity between fashion SMEs and young consumers is encouraged as it precipitates the positive engagement behaviours enabled by social media. The study concludes with actionable recommendations for the non-luxury fashion SME sector in emerging economies.

The study is the first of its kind to ascertain what drives young consumers' engagement with non-luxury fashion SMEs on social media. It provides managerial insights and guidance to SMEs in emerging markets on effective social media fashion retailing targeted mainly at digital natives, the dominant generational cohorts on social media in most emerging economies.

The process of public sector reform in the United Kingdom continues to provoke debate. Even among advocates of the reform process there is a concern that improvements in public service provision have not been as marked as originally intended, and that the process has produced a variety of unintended consequences. The purpose of this paper is to explore possible explanations for these unintended consequences, and discuss possible practical solutions for policy makers and service commissioners.

In this conceptual paper focus is in particular upon attempting to explain managerial behaviour from insights offered by two well‐established managerial theories – stakeholder theory and resource dependency theory. Insights from these theories are used to explain the possible causes of the unintended consequences of the reform process. The discussion is illustrated and set in context by reference to a continuum of service delivery modes from monopoly provision through to full competition.

Theory suggests that managers inevitably prioritise the interests of what they identify as their key stakeholders, and particularly those providing critical resources. In the case of public services this means that the interests of government, as the commissioner and funder of services, are prioritised rather than the end‐users of services. Examples of how this distorts the objectives of government are highlighted. It is argued that understanding this aspect of managerial decision‐making and stakeholder prioritising opens up the potential to resolve the problem.

This is the first paper to address the question of managerial behaviour from these theoretical perspectives in the area of the public sector reform process.

This study aims to investigate the effects and implications of overconfidence in a competitive game involving multiple newsvendors. This study explores how overconfidence influences system coordination, optimal stocking strategies and competition among newsvendors in the context of the well-known newsvendor stocking problem.

The study applies robust optimization theory and the absolute regret minimization criterion to analyze the competitive game of overconfident newsvendors. This study considers the asymmetric information held by newsvendors regarding market demand and obtains a closed-form solution for the competing game. The effects of overconfidence on system coordination and optimal stocking strategies are examined.

The results of the study indicate that overconfidence can act as a positive force in reducing the effects of overstocking caused by competition and asymmetric information among newsvendors. The analysis reveals that there exists an optimal level of overconfidence that coordinates the ordering system of multiple overconfident newsvendors, leading to first-best outcomes under certain conditions. Additionally, numerical examples confirm the obtained results. Furthermore, considering newsvendors' expected profit, the study finds that a higher degree of overconfidence does not necessarily result in lower actual expected profit.

Despite the significant contributions of this study to theoretical and managerial insights, this study does have certain limitations. First, in the establishment of the belief demand function, the substitution ratio, which quantifies the transfer, is assumed to be an exogenous variable. However, in reality, this is often influenced by factors such as the price of goods and the distance between stores. Therefore, one direction worth studying in the future is to explore the uncertainty associated with the demand substitution ratio and integrate that as an endogenous variable into the optimization model. Second, this study does not address the type of product and solely focuses on quantitatively analyzing the effect of salvage value on the optimal stocking strategy. Future studies can explore the effect of degree of perishability and selling period of the product on the stocking. Third, the focus of uncertainty in this study revolves around market demand, and the implications of this uncertainty are significant. A recent study (Rahbari et al., 2023) addressed an innovative robust optimization problem related to canned foods during pandemic crises. The recent study's findings highlighted the effectiveness of expanding canned food exports to neighboring countries with economic justification as the best strategy for companies amidst the disruptions caused by the coronavirus disease 2019 (COVID-19) pandemic. Incorporating the issue of disruptions into the authors' research would be interesting and challenging.

From a managerial perspective, the authors' study provides a research paradigm for game-theoretic inventory problems in scenarios where the market demand distribution is unknown. While most inventory problems are analyzed and solved based on expectation-based optimization criteria, which rely on an accurate distribution of market demand, obtaining this information in practice can often be challenging or expensive for decision-makers. Consequently, a discrepancy arises between real-world observations and theoretical identifications. This study aimed to complement previous research and address the inconsistency between observations and theoretical identification.

The authors' research contributes to the existing understanding of overconfidence and assists individuals in making appropriate stocking strategies based on the individuals' level of overconfidence. Diverging significantly from the traditional view of overconfidence as a negative bias, the authors' results show the view's potential positive impact within a competitive environment, resulting in greater actual expected profits for newsvendors.

This study contributes to the existing literature by examining the effects of overconfidence in a competitive game of newsvendors. This study extends the analysis of the well-known newsvendor stocking problem by incorporating overconfidence and considering the implications for system coordination and competition. The application of robust optimization theory and the absolute regret minimization criterion provides a novel approach to studying overconfidence in this context.

Inquiry into managerial situations, problems and issues is needed very often. A mode of inquiry using situation‐actor‐process (SAP)‐ learning‐action‐performance (LAP) (SAP‐LAP) models of flexible systems management is presented here. It is argued that in order to gain deep insight and for effective action, a SAP‐LAP model of inquiry may be developed by identifying critical questions in each element of the SAP‐LAP paradigm. Three generic SAP‐LAP models for inquiry into general problem solving, change, and flexibility are presented followed by an illustrative application. These models may be adapted according to the requirements of the context under consideration.

The aim of the paper is to address the widening theory-praxis gap in marketing. The authors propose that one viable solution to this challenge is involving practitioners in research processes as active, reflective and empowered participants. Most extant discussions addressing the inclusion of managers as partners in theorizing restrain themselves to an “if” question, arguing whether or not it is possible to create sufficiently rigorous knowledge in collaboration with practitioners. This leaves the “how” question unanswered, i.e. how should such gap-bridging research be conducted in practice.

Based on a literature review of collaborative theorizing processes, the authors develop a conceptual framework highlighting the main research design decisions when theorizing with managers. The use of the framework is illustrated with four research program examples.

Most accounts of theorizing with managers use – explicitly or implicitly – abduction as the main mode of inference. In addition to this philosophical commonality, our literature review identified 12 themes that should be considered when designing collaborative research processes. The four illustrative examples indicate that theorizing with managers is an effective way of producing and socializing both academically sound and managerially relevant knowledge. On the other hand, collaborative theorizing processes are time-consuming and studies using abductive reasoning may be more challenging to publish in top-tier journals.

This paper makes two contributions. First, the authors go beyond the extensive academic literature which provides a plethora of explanations and ideas for potential remedies for bridging the theory-praxis gap by offering a detailed description how one particular solution, theorizing with managers, unfolds in practice. Second, the authors ground collaborative theorizing processes in the philosophy of science and put abduction forward as a common nominator for such studies.

To gain understanding of value chain (VC) agility in terms of value‐adding processes, this paper seeks to present a VC agility framework and then to develop the involved constructs.

A framework of VC agility and its theoretical underpinnings is presented. Within the framework, drivers and determinants of VC agility are identified as characteristics enabling flexibility within key components of a firm's VC. Also, it is posited that information technology (IT) capability impacts the levels of achieved flexibility and agility, and that VC agility impacts business performance.

From scale development, key determinants of flexibility within VC activities are identified. Correlation analysis suggests that firms derive higher levels of agility through integrating information across the VC rather than within VC activities. Firms with flexibility in their VC functions enjoy higher levels of ensuing VC agility and on‐time delivery, ROA, and market share.

While the sample size is adequate for scale development, it is not adequate for structural equation modeling since the guideline is to have at least five survey responses for every item measure. Thus, insights were gleaned from initial analysis based on correlations.

Managerial insights concerning key value‐adding activities that build flexibility and ultimately agility are identified.

To the best of one's knowledge, this work is the first to operationalize VC agility from the perspective that agility is derived from flexibility in the VC processes and is enabled by IT integration. From exploratory research, insights are gained on how VC agility links with business performance.