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Micro, small, and medium enterprises (MSMEs) can play a significant role in achieving sustainable development goals (SDGs) as they have the ability to reduce unemployment. Digitalization helps MSMEs in a number of ways, including lowering transaction costs, quickening access to information, and bettering communication with extended supply chain members. This chapter aims to understand the level of digitalization in MSMEs in an emerging economy such as Bangladesh. MSMEs in Bangladesh account for 25% of the gross domestic product and employ 87% of civilians. This chapter builds on qualitative data from 60 MSMEs from various manufacturing and service sectors such as textile, retail, food delivery, IT companies, etc. The interviews were semi-structured and followed an interview protocol. The length of interviews varied between 40 and 50 minutes. Content analysis was used to analyze the data. Findings suggest that counterintuitively the level of digitization in MSMEs is not low in Bangladesh. Many micro and small enterprises use MS Excel to help them manage customer and product data. Medium Enterprises use Enterprise Resource Planning (ERP) software for planning enterprise-wide resources. Some medium enterprises also use powerful data analytics software such as Oracle, Power BI, Google Analytics, Python, and SPSS. Results also reveal barriers to digitization in MSMEs, which include a lack of employee awareness, training, and motivation of top management. This chapter maps the digitalization levels in MSMEs in Bangladesh and provides implications for SGDs. The chapter also presents policy recommendations for improving the digitalization level in emerging economies.

Organizational theorists and strategy scholars are both interested in how organizations deal with ambiguity, especially in relation to implementation. This chapter examines one source of ambiguity that organizations face, which is based on their efforts to implement moral mandates. These mandates, which are related to areas such as environmental sustainability and diversity, are inherently ambiguous, as they lack a shared understanding regarding their scope and associated practices. They are also often broad and systemic and may be unclearly aligned with an organization's strategy. Due to these challenges, in this chapter, we theorize that collective action at the field level is necessary for organizations to advance and concretize moral mandates. We examine this theorizing through the case of the implementation of sustainability in higher education. We hypothesize and find support for the idea that when an organization's members engage in collective action at the field level, those organizations have an increased likelihood of achieving sustainability implementation. To gain insight into this field-to-organization relationship, we qualitatively examine 18 years of conversations from an online forum to develop a process model of moral mandate implementation. We theorize that collective action functions as a field-configuring space, in which actors from a variety of organizations come together to (1) refine the scope of the mandate and (2) create an implementation repertoire that actors can draw on when seeking to bring sustainability to their own organizations. Overall, our study provides a model of how ambiguous moral mandates can be implemented by highlighting the important role of collective action across organizations in concretizing those mandates and providing actors with the tools for their implementation.

The formation of alliances between organisations is increasingly common, allowing firms to discover and ensure competitive advantages. This research paper aims to make a critical analysis of studies to understand the role of communication between partners in the process of strategic alliances.

A systematic literature review was carried out, using the Web of Science database to obtain data, associating the terms “communication” and “strategic alliances”, which resulted in 240 scientific articles (published between 1993 and March 2021). After data treatment using VOSviewer software and reading of the contents, the final sample consisted of 179 articles on the subject in question.

The conceptual limits, exploratory descriptive analysis of the data and content analysis of research methods are presented, with five clusters being identified. The results show growing academic interest in studying communication associated with strategic alliances, and authors’ main interest lies in understanding the critical success factors and the relation between communication and knowledge.

This study corroborates understanding of the future of alliances, assuming that learning is the main objective; trust is the factor determining success or failure; technology is the aggregating tool; culture affects the relation; and communication is not an end but a means to construct consolidated, long-lasting and high-performing strategic alliances.

This study is innovative in strategic alliances area. The research confirms that the main factor in forming alliances, in both emerging and international markets, is the learning intention. This fact reinforces the relevance of the learning made possible by this transfer of know-how through communication. In addition, this study gives critical understanding of how the process of communication between partners in an alliance must be distinct; i.e. it must be flexible enough to adjust to the stage in the alliance’s life cycle.

One increasingly popular financing option for entrepreneurial ventures is to attract corporate venture capital (CVC) investments. Prior research tends to take a CVC-centric perspective assessing the benefits and contingencies for incumbent firms or corporate investors to engage with entrepreneurial ventures. Few studies have taken the opposite perspective of investigating factors that entrepreneurial ventures need to take into account when engaging with CVC investments. As such, this study aims to investigate pre- and post-IPO entrepreneurial venture performance that partners with CVC providers or corporate investors, as well as to assess organizational and environmental contingencies.

This study draws on a sample of 631 entrepreneurial ventures from the CSMAR database ranging from 2009 to 2019, along with CVC financing data from the CVSource database and financial data in entrepreneurial ventures’ annual reports from the Juchao Network. This study applies multiple linear regression modelling and fixed effect panel data analyses to test the proposed hypotheses.

The results show that CVC investment contributes to entrepreneurial ventures’ financial performance, both pre- and post-IPO. However, while research and development (R&D) intensity and geographic proximity strengthen the positive relationship between CVC investment and entrepreneurial ventures’ performance pre-IPO, R&D intensity has a negative moderating effect on the relationship between CVC investment and entrepreneurial ventures’ performance post-IPO.

First, in emerging economies, adopting a CVC financing strategy is an important strategic choice for entrepreneurial ventures that have a great demand for external capital, resources and technology support. Second, leveraging the relationship between external financing and internal R&D investment is essential for them to maintain their core competitiveness and sustainable growth. Moreover, entrepreneurial ventures should deal with the coopetitive relationship with incumbent companies and manage their dependency on other market participants in the external environment.

This study focuses on the performance implications for entrepreneurial ventures engaging with CVC investments pre- and post-IPO. First, this study broadens and expands prior research on the mechanism of the relationship between CVC and entrepreneurial ventures’ financial performance. Second, the research conducts a comparative study of the moderating effects of different timings. Third, this study applies learning theory to the field of CVC in emerging economies.

The rapid, yet low-profit, expansion of the production capacity of state-owned enterprises (SOEs) represents a remarkable phenomenon. However, the motivation behind this key operational decision remains underexplored, especially concerning the prioritization of sociopolitical and financial goals in operations management. Drawing on the multiple-goal model in the behavioral theory of the firm (BTOF), the authors' study aims to examine how SOE capacity expansion is driven by performance feedback regarding the sociopolitical goal of employment provision and how SOEs differently prioritize sociopolitical and financial goals based on negative versus positive feedback on the sociopolitical goal.

The authors' study uses panel data on 826 Chinese SOEs in manufacturing industries from 2011 to 2019. The authors employ the fixed-effects model with Driscoll–Kraay standard errors, which are robust to heteroscedasticity, autocorrelation and cross-sectional dependence.

The authors find that SOEs increase capacity expansion as sociopolitical feedback becomes more negative, but they may not increase capacity expansion in response to positive sociopolitical feedback. Moreover, negative profitability feedback strengthens SOEs' capacity expansion in response to negative sociopolitical feedback. In contrast, negative profitability feedback weakens their response to positive sociopolitical feedback.

The authors' study offers a novel behavioral explanation of SOEs' operational decisions regarding capacity expansion. While the literature has traditionally assumed multiple goals as either hierarchical or compatible, the authors extend the BTOF's multiple-goal model to illuminate when firms pursue sociopolitical and financial goals as compatible (i.e. the activation rule) versus hierarchical (i.e. the sequential rule), thereby reconciling their tension in distinct performance situations. Practically, the authors provide fine-grained insights into how operations managers can prioritize multiple goals when making operational decisions. The authors' study also shows how policymakers can influence SOE operations to pursue sociopolitical goals for public benefit.

Although previous research has investigated how performance feedback may affect firms’ strategic actions, their findings has been inconsistent. The relationship between performance feedback and firms’ strategic activities thus appears complex. Moreover, the authors contend that it may vary with the measurement strategies employed (i.e. social or historical feedback, operationalizations of strategic actions or accounting- and market-based performance indicators) and the national contexts.

Therefore, the current article presents a comprehensive meta-analysis of prior research, including 1,637,817 sample observations from 101 studies that span more than 18 countries.

The results indicate that (1) performance that are below or above aspirational levels generally has a positive relationship with firms’ strategic actions; (2) these relationships are contingent on the implementation forms taken by the key variables, such as performance feedback, strategic actions and performance indicators; and (3) the relationships are much stronger in countries where managerial discretion is greater.

The findings contribute to the clarification of long-standing theoretical and empirical debates regarding the relationship between performance feedback and strategic actions, as well as some pertinent directions for future research.

Vegetarian diets are increasingly common worldwide. Vegetarianism is no longer just related to food, but rather it evokes a deeper meaning, such as environmental sustainability and animal welfare. In Western cultures, many studies have examined how vegetarians' motivations relate to animal welfare, health and environmentalism. However, there is little research in this area in Asia, especially in South Korea, despite a growing number of vegetarians. This study identifies the hierarchical value maps (HVMs) of vegetarians to clarify why people choose to become vegetarians and investigates the negative aspects of these dietary types.

The authors conducted in-depth, one-to-one laddering interviews with 33 vegetarians in South Korea based on the means-end chain theory. The laddering technique is a qualitative approach to determining connections between attributes, consequences and values.

Vegetarians tend to value an ethical lifestyle, sustainable future, ecological circulation, responsibility for nature, respect for life, respect for the weak and quality of life. HVM differs slightly among groups by the type of vegetarianism (vegan vs non-vegan vegetarians) and sex (females vs males). The most dominant cognitive structures toward vegetarian diets were “meat-free,” “no factory farming,” and “plant-based” (attributes); “health,” “environment-friendly” and “animal-friendly” (consequences); and “quality of life,” “ethical life,” and “sustainable future” (values).

This study offers insights into the motivations of Korean vegetarians, and they are not culturally different from those of Westerners as they relate to animals, the environment and health.

This paper seeks to explore the effect of performance duration (rather than intensity) on the subsequent initiation of strategic change by firms. Specifically, the effect of outperformance and underperformance duration on strategic change, as well as the moderating effect of environmental dynamism, is studied.

Using a fixed-effects model, analyzing a sample of 34,907 firm-year observations from 1980 to 2018 across 112 industries mostly supported proposed hypotheses.

Results revealed a U-shaped relationship between outperformance duration and strategic change and an inverted U-shaped relationship between underperformance duration and strategic change. The moderation role of environmental dynamism was only partially supported.

This study examines a new dimension of performance feedback, namely duration, rather than the widely used intensity of performance feedback, to enhance our understanding of the behavioral theory of the firm.

Although businesses continue to take up artificial intelligence (AI), concerns remain that companies are not realising the full value of their investments. The study aims to provide insights into how AI creates business value by investigating the mediating role of Business Process Management (BPM) capabilities.

The integrative model of IT Business Value was contextualised, and structural equation modelling was applied to validate the proposed serial multiple mediation model using a sample of 448 organisations based in the EU.

The results validate the proposed serial multiple mediation model according to which AI adoption increases organisational performance through decision-making and business process performance. Process automation, organisational learning and process innovation are significant complementary partial mediators, thereby shedding light on how AI creates business value.

In pursuing a complex nomological framework, multiple perspectives on realising business value from AI investments were incorporated. Several moderators presenting complementary organisational resources (e.g. culture, digital maturity, BPM maturity) could be included to identify behaviour in more complex relationships. The ethical and moral issues surrounding AI and its use could also be examined.

The provided insights can help guide organisations towards the most promising AI activities of process automation with AI-enabled decision-making, organisational learning and process innovation to yield business value.

While previous research assumed a moderated relationship, this study extends the growing literature on AI business value by empirically investigating a comprehensive nomological network that links AI adoption to organisational performance in a BPM setting.

We argue that a fundamental issue regarding how to search and how to switch between different cognitive modes lies in the decision rules that influence the dynamics of learning and exploration. We examine the search logics underlying these decision rules and propose conceptual prompts that can be applied mentally or computationally to aid managers’ decision-making.

By applying Multi-Armed Bandit (MAB) modeling to simulate agents’ interaction with dynamic environments, we compared the patterns and performance of selected MAB algorithms under different configurations of environmental conditions.

We develop three conceptual prompts. First, the simple heuristic-based exploration strategy works well in conditions of low environmental variability and few alternatives. Second, an exploration strategy that combines simple and de-biasing heuristics is suitable for most dynamic and complex decision environments. Third, the uncertainty-based exploration strategy is more applicable in the condition of high environmental unpredictability as it can more effectively recognize deviated patterns.

This study contributes to emerging research on using algorithms to develop novel concepts and combining heuristics and algorithmic intelligence in strategic decision-making.

This study offers insights that there are different possibilities for exploration strategies for managers to apply conceptually and that the adaptability of cognitive-distant search may be underestimated in turbulent environments.

Drawing on insights from machine learning and cognitive psychology research, we demonstrate the fitness of different exploration strategies in different dynamic environmental configurations by comparing the different search logics that underlie the three MAB algorithms.