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Grounded in the resource-based view of the firm, this study aims to examine the effects of goal orientation and the mindfulness of entrepreneurs on firm innovation capability and analyzes that capability’s subsequent impact on firm performance. The authors also analyze whether mindfulness interacts with goal orientation to intensify its effect on firm innovation capability.

Simple random sampling was used to obtain the sample of Thai firms listed in the Department of Business Development database (n = 304). The data analysis was done by using partial least square structural equation modeling.

Goal orientation and mindfulness are positively associated with firm innovation capability. The analysis also supports the interaction effect of goal orientation and mindfulness on firm innovation capability. Moreover, firm innovation capability is positively associated with firm performance.

Goal orientation and mindfulness should be considered two essential soft skills that entrepreneurs must develop to build up their firms’ innovation capability. Because entrepreneurs are the key drivers of economic growth and sustainable development, the government agencies responsible for the entrepreneurship development should consider goal orientation and mindfulness as parts of their entrepreneurship training program and development policy.

The finding about the interaction effect of goal orientation and mindfulness on firm innovation capability provides new evidence that was not documented in previous research. The authors clarify that these are entrepreneurial characteristics that could supplement each other to maximize the potential of entrepreneurs and strengthen the innovation capability of their firms.

Although information technology (IT) governance and IT capability have been extensively examined, the impact of IT governance mechanisms on IT-enabled dynamic capability (ITDC) with moderators has received less attention. This study investigates how the impact of IT governance mechanisms on firm performance is achieved through an ITDC through the moderating role of IT governance decentralization and a turbulent environment.

This study extends from the traditional view of IT capabilities and integrates dynamic capability theory to propose that IT governance is vital for the ITDC. Path analysis, hierarchical regression analysis and moderation analysis were performed using partial least squares (Smart PLS 3.0) as the data analysis methods. This study empirically tests the proposed mediated moderation model by using data collected from 254 firms in China to test the hypotheses.

Significant and impactful relationships are found in the model that includes turbulent environment moderating effects. Contrary to expectations, IT governance decentralization is also significant but not very strong.

This study’s findings have implications for investigating IT governance, IT-enabled capabilities and moderators. Accordingly, this study has implications for board and executive management to capitalize on dynamic IT capability, to keep pace with the challenges and turbulent conditions associated with business needs and for the productivity paradox in the context of Chinese firms.

This country-specific research study theoretically contributes to the IT governance, dynamic capabilities and turbulent environment in the information systems literature and proposes many practical guides to the board and executive management of companies in the Chinese context.

This paper has a threefold purpose. First, we offer a literature review on alliance capability based on strategic and competence-based management literature. Second, we extend existing literature on alliance capability by breaking this concept down into five subcapabilities, each of which is linked to a stage of the alliance life cycle. Finally, we suggest how firms can support these capabilities through structural, technological, and people-related tools and techniques. We argue that current literature has focused mainly on organization-wide characteristics, the general alliance function, and alliance experience to explain the level of alliance capability. Although we acknowledge the importance of these elements, we stress that more attention needs to be given to the various stage-specific components, actions, and supportive mechanisms that can result in an improved alliance capability.

This paper aims to empirically examine the impact of dynamic capabilities on Industry 4.0 capabilities in small and medium enterprises (SMEs) in Jordan. It also aims to examine the potential impact of industry 4.0 capabilities on technological innovation.

Data were collected from 210 respondents who work and own SMEs in Jordan. SmartPLS software based on the partial least squares-structural equation modeling approach was used to test hypotheses.

The findings reveal the positive effects of the three components of dynamic capabilities, including sensing, seizing and reconfiguring, on Industry 4.0 capabilities. They also confirm the positive effect of Industry 4.0 capabilities on technological innovation.

This study provides valuable practical implications and enriches the literature on the determinants of Industry 4.0 capabilities and its role in developing the dynamic capabilities of SMEs, such as technological innovation.

Digital transformation is a foundational change in how firms operate and deliver value to customers by using digital technologies to create new business opportunities. The purpose of this study is to offer a conceptual framework by reorganizing the elements of digital transformation, including resources, technology, capabilities and performance, into a workable process and investigating how firms integrate these resources, build new capabilities and transform them into enhanced performance.

This framework builds three blocks: resource integration, organizational capabilities and outcomes, exploring the impact of resource integration on outcomes through organizational capabilities. For resource integration, this study adopts a resource-based view (RBV) and service-dominant logic (SDL) to integrate organizational resources, including information technology (IT)-based resources, which play a role in moderating the effect of resource integration. Moreover, the author argues that firms’ capabilities have two levels: higher-order capabilities and lower-order capabilities, which will convert these resources through the capabilities into organizational performance.

This framework is built to understand the process of digital transformation and its antecedents for firms’ performance in business environments. Drawing on RBV, it provides a more holistic perspective that has been linked to resource integration, organizational capabilities and outcomes at the firm level. In this way, the theoretical basis for diminishing implicitness associated with the current perspective of digital transformation can be strengthened.

This paper offers a coherent discussion of digital transformation and explains the process of digital transformation, thus advancing prior work. The major contribution is connecting the process of digital transformation through which firms integrate resources, i.e. digital technologies and valuable, rare, inimitable and nonsubstitutable (VRIN) and nonVRIN resources as well, to build organizational dynamic capabilities based on RBV and SDL.

Academics and businesses alike have begun to recognise sustainability as a vital component of supply chain competitive advantage in recent years. Inconclusive results have been found in empirical studies of sustainable supply chain management (SSCM) that have ignored contextual variables concerning the dynamic role of firm capability in favour of testing alternative assumptions about the effect of various elements of the triple bottom line (TBL) on firm performance outcomes. The present study examines whether and how firm capabilities mediate the connection between SSCM, from a TBL standpoint, and firm financial performance outcomes.

Using the stakeholder theory, the study employed 325 survey responses from firms operating in different industries in Ghana (a less-researched context but one that plays a key role regarding SSCM practices) and the partial least squares structural equation model (PLS-SEM) technique to simultaneously assess the relationships amongst the variables.

It was discovered that the connections between all the TBL facets of SSCM practices and firm performance are positive and significant, and these relationships are mediated by firm capabilities.

By examining the underlying variables and relationships that contribute to the establishment of the rather complex relationship between SSCM practices from a TBL perspective and the performance of a firm, the research contributes to current knowledge on SSCM practices, firm capabilities and firm performance.

Firm’s operating contexts and asymmetric perspectives of success versus failure outcomes are two essential features typically absent in research on firms’ implemented strategies. The study here describes and provides examples of formal case-based models (i.e., constructing algorithms) of firms implemented strategies within several of 81 potential context (task environments) configurations – large vs small, service vs production orientation, low vs high competitive intensity, low vs high technological turbulence, and ambiguous settings for each. The study applies the tenets of complexity theory (e.g., equifinality, causal asymmetry, and single causal insufficiency). The study proposes a meso-theory and empirical testing position for solving “the crucial problem in strategic management” (Powell, Lovallo, & Fox, 2011, p. 1370) – firm heterogeneity – why firms adopt different strategies and structures, why heterogeneity persists, and why competitors perform differently. A workable solution is to identify/describe implemented executive capability strategies that identify firms in alternative specific task environments which are consistently accurate in predicting success (or failure) of all firms for specific implemented capabilities/context configuration. The study shows how researchers can perform “statistical sameness testing” and avoid the telling weaknesses and “corrupt practices” of symmetric tests such as multiple regression analysis (Hubbard, 2015) including null hypothesis significance testing. The study includes testing the research issues using survey responses of 405 CEO and chief marketing officers in 405 Hungarian firms. The study describes algorithms indicating success cases (firms) as well as failure cases via deductive, inductive, and abductive fuzzy-set logic of capabilities in context solutions.

This study aims to explore the dynamic interplay of key resources (i.e. research and development (R&D), advertising and exports) in affecting the performance of USA manufacturing firms. Specifically, the authors examine the dynamic impact of joint resources and predict differential effect scales contingent on firm capabilities.

This study presents a combined multiple regression analysis (MRA)-multilayer perceptron (MLP) neural network modeling and investigates the complex interlinkage of capabilities, resources and performance. As an innovative approach, the MRA-MLP model investigates the effect of capabilities under the combinatory deployment of joint resources.

This study finds that the impact of joint resources and synergistic rents is not uniform but rather distinctive according to the combinatory conditions and that the pattern is further shaped by firm capabilities. Accordingly, besides signifying the contingent aspect of capabilities across a range of resource combinations, the result also shows that managerial sophistication in adaptive resource control is more than a managerial ethos.

The proposed analytic process provides scientific decision support tools with control mechanisms with respect to deploying multiple resources and setting actionable goals, thereby presenting pragmatic benchmarking options to industry managers.

Using the theoretical underpinnings of the resource-based view (RBV) and resource orchestration, this study advances knowledge about the complex interaction of key resources by presenting a salient analytic process. The empirical design, which portrays holistic interaction patterns, adds to the uniqueness of this study of the complex interlinkages between capabilities, resources and shareholder value.

International new ventures have been argued to seek foreign markets from inception in response to the external environment and/or motivations internal to the firm. For example, a new venture that exists in an industry that is more globally integrated is more likely to have a need to internationalize in order to remain competitive (Shrader, Oviatt, & McDougall, 2000). Similarly, those new ventures that have limited domestic growth due to the size of their home country may look elsewhere in order to gain a sufficient level of sales to survive (Zahra & George, 2002). Some of the many firm-specific motivations to internationalize might include the desire to fully exploit a unique product (Burgel & Murray, 2000; Oviatt & McDougall, 1994, 1995), capitalize on the learning advantage of newness (Autio, Sapienza, & Almeida, 2000) or take advantage of networking opportunities (Reuber & Fischer, 1997).

The study this chapter reports focuses on how network theory contributes to the understanding of the internationalization process of SMEs and measures the effect of network capability on performance in international trade and has three research objectives.

The first objective of the study relates to providing new insights into the international market development activities through the application of a network perspective. The chapter reviews the international business literature to ascertain the development of thought, the research gaps, and the shortcomings. This review shows that the network perspective is a useful and popular theoretical domain that researchers can use to understand international activities, particularly of small, high technology, resource-constrained firms.

The second research objective is to gain a deeper understanding of network capability. This chapter presents a model for the impact of network capability on international performance by building on the emerging literature on the dynamic capabilities view of the firm. The model conceptualizes network capability in terms of network characteristics, network operation, and network resources. Network characteristics comprise strong and weak ties (operationalized as foreign-market entry modes), relational capability, and the level of trust between partners. Network operation focuses on network initiation, network coordination, and network learning capabilities. Network resources comprise network human-capital resources, synergy-sensitive resources (resource combinations within the network), and information sharing within the network.

The third research objective is to determine the impact of networking capability on the international performance of SMEs. The study analyzes 11 hypotheses through structural equations modeling using LISREL. The hypotheses relate to strong and weak ties, the relative strength of strong ties over weak ties, and each of the eight remaining constructs of networking capability in the study. The research conducts a cross-sectional study by using a sample of SMEs drawn from the telecommunications industry in Ireland.

The study supports the hypothesis that strong ties are more influential on international performance than weak ties. Similarly, network coordination and human-capital resources have a positive and significant association with international performance. Strong ties, weak ties, trust, network initiation, synergy-sensitive resources, relational capability, network learning, and information sharing do not have a significant association with international performance. The results of this study are strong (R2=0.63 for performance as the outcome) and provide a number of interesting insights into the relations between collaboration or networking capability and performance.

This study provides managers and policy makers with an improved understanding of the contingent effects of networks to highlight situations where networks might have limited, zero, or even negative effects on business outcomes. The study cautions against the tendency to interpret networks as universally beneficial to business development and performance outcomes.