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To create and sustain a resource-based competitive advantage, managers acquire and develop specialized resources as they grow their firms. The authors argue that an important part of committing to a resource-based strategy is a willingness to keep spending on specialized resources during periods when sales and profits are down. The authors seek to validate this conjecture by examining whether such resource-based commitment to a customer-centered strategy results in improved customer satisfaction. The authors use the stickiness of selling, general, and administrative (SG&A) expenses to capture this commitment empirically. The authors first document that future customer satisfaction is positively associated with SG&A cost stickiness, consistent with the premise that the retention of specialized SG&A resources during low demand periods helps firms to build and maintain relationships with customers over time. Next, the authors test whether expected future benefits of customer satisfaction are enhanced when SG&A cost stickiness is higher. The authors find that the positive relation between Tobin’s Q and customer satisfaction is positively moderated by SG&A cost stickiness. Finally, the authors test whether earnings persistence, a quality of earnings associated with sustained performance over time, is positively associated with the interaction between customer satisfaction and SG&A cost stickiness. The authors find that it is. Their evidence supporting these predictions is consistent with the conjecture that resource-based commitment reflected in cost stickiness is an important dimension of creating and sustaining a resource-based competitive advantage.

The provision of value, as a marketing issue, is receiving increasing attention from managers and scholars. This attention, in combination with strong calls for better quantification and stronger measures in marketing, has lead to increased interest in the assessment, quantified where possible, of the provision of value through buyer–seller relationships. This paper identifies dimensions of value provision through relationships in business markets with specific emphasis on the intangible aspects of value, which are important to long-term competitive advantage. The provision of value to the seller is the prime focus in this paper. The paper discusses the meaning of both tangible and intangible relationship value and the interplay between them and notes the importance of assessing the intangible part of the value, particularly the part which derives from the human aspects of the relationship. Despite their importance, the human aspects of relationships and their contribution to value is a sparse topic among researchers. The paper compares and evaluates potentially useful relationship and value conceptualizations. The paper discusses studies of relationship value and then outlines the results of a recent line of empirical research into the provision of value by a buyer to a seller that utilizes a framework synthesized from the intellectual capital literature. This recent research conceptualizes the potential for a seller's relationship with a buyer to provide intangible value to the seller in terms of, first, the resources available in the buyer and second, the capabilities of the buyer's boundary personnel to aid in facilitating the flow of those resources to the seller. The paper also includes the softer human aspects in the dimensions of value. These latter aspects are important to a full assessment of value. The paper concludes with a discussion of aspects of intangible relationship value that need further elucidation and will thus provide opportunities for future research.

Purpose – The purpose of this paper is to develop a framework which sheds new light on how sustainability control systems (SCS) can be used in proactive strategic responses to corporate sustainability pressures.

Design/Methodology/Approach – Corporate sustainability pressures are identified using insights from institutional theory and the resource-based view of the firm.

Findings – The paper presents an integrated framework showing the corporate sustainability pressures, proactive strategic responses to these pressures, and how organizations might use SCS in their responses to the corporate sustainability pressures they face.

Practical Implications – The proposed framework shows how organizations can use SCS in proactive strategic responses to corporate sustainability pressures.

Originality/Value – The paper suggests that instead of using traditional financial-oriented management control systems, organizations need more focus on emerging SCS as a means of achieving sustainability objectives. In particular, the paper proposes different SCS tools that can be used in proactive strategic responses to sustainability pressures in terms of (i) specifying and communicating sustainability objectives, (ii) monitoring sustainability performance, and (iii) providing motivation by linking sustainability rewards to performance.

This study uses a new, fine-grained, firm-based measure of target resources to investigate the relationship between target resource type and acquirer stock market performance. Our findings suggest that the market punishes acquirers of knowledge-based resources more than those that buy property-based resources due to the perceived uncertainty regarding the value of targets’ knowledge resources. In support of the underlying uncertainty argument, we find that managers announcing knowledge-based mergers provide more information in their press releases than those announcing property-based transactions. While prior studies have suggested that resource relatedness may moderate the resource type and acquisition performance link, our findings do not support either a direct or moderating relationship.

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

Industry descriptions often depict science‐driven industries as a single industry class, dominated by explicit knowledge in the form of patents, blueprints, diagrams, etc. This one‐dimensional view limits our ability to effectively manage the activities and routines across various stages of a science life cycle. The life cycle concept refers to the extent of development of the underlying scientific knowledge base. The knowledge in developed science fields (e.g. chemicals) is well codified, whereas in developing fields (e.g. biotechnology), it is less so. This variance creates interesting implications for innovation – product development routines will differ across developed and developing sciences. The purpose of this paper is to compare and contrast the knowledge‐ and resource‐based requirements of developed and developing science industries and the link to competitive advantage.

Based on the strategy tripod perspective, this study aims to address how emerging economy multinational enterprises (EMNEs) make a strategic decision of choosing a foreign location for their strategic asset seeking and under what mechanism EMNEs make foreign direct investment (FDI) location choice.

This paper first reviews the literature on strategy tripod and strategic asset seeking strategy of EMNEs. Then, six cases of Chinese multinational enterprises operating in manufacturing industry have been introduced, emphasizing on interactions within three dimensions of strategy tripod framework, namely, resource-based dimension, industry-based dimension and institution-based dimension. By triangulating with multiple sources of archival and interview data, this paper identified a conceptual model presenting location choice mechanisms.

Based on a comparative multi-case study, four mechanisms of EMNEs’ location choice when seek strategic asset by FDI within a strategy tripod framework have been revealed. Specifically, EMNEs make their strategic decision of choosing a foreign location for their strategic asset seeking under mechanisms of seeking complementary resources based on industry characteristics; echoing with institutional dimension of home country when exploitation of resource; matching institutional dimension of host country when consider industry fitness; and institutional leveraging combined with understanding of resource and industry dimensions inside strategy tripod.

The findings shed novel insights into the mechanisms under which EMNEs choose their location for strategic asset-seeking FDI. It also broadens the strategy tripod framework by looking deeper into the characteristics of each dimension within a new research context of EMNEs’ FDI location choice.

Drawing on the resource‐based view of the firm and the dynamic capabilities perspective, this paper sets out to argue that salespeople's selling skills and their inter‐ and intra‐unit collaborative skills are valuable, rare, socially complex, and inimitable knowledge‐based resources embedded in the human and social capital of field sales units (FSUs). Salespeople's selling and collaborative skills, both directly and interactively, should help field sales units generate greater economic rents. This paper also aims to explore the effect of salespeople's selling and collaborative skills on the level of total compensation through the mediating role of sales unit performance.

The data were obtained from a sample of managers of FSUs in 102 large Canadian organizations. The proposed model and its hypotheses were tested using hierarchical moderated regression analysis.

Collaborative skills, but not selling skills, are directly related to FSU performance; the effect of selling skills on FSU performance is strengthened by the complementary role of collaborative skills; and selling skills and collaborative skills both individually and interactively result in the payment of higher compensation to salespeople as a result of their enhanced performance.

Salespeople's selling skills and collaborative skills (both directly and interactively) not only enable the FSU to generate higher levels of performance, but they also increase individual salespeople's compensation.

It is necessary for managers to acknowledge the role of knowledge‐based resources in building/developing organizational dynamic capabilities.

This is one of the few studies that explores the strategic role of salespeople in creating a competitive advantage and links the sales management literature to the literature on the RBV of the firm and social capital/human capital theory.

The purpose is to analyze and discuss the sustainable development (SD) and financing risk assessment (FRA) of resource-based industrial clusters under the Internet of Things (IoT) economy and promote the application of Machine Learning methods and intelligent optimization algorithms in FRA.

This study used the Support Vector Machine (SVM) algorithm that is analyzed together with the Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithm. First, Yulin City in Shaanxi Province is selected for case analysis. Then, resource-based industrial clusters are studied, and an SD early-warning model is implemented. Then, the financing Risk Assessment Index System is established from the perspective of construction-operation-transfer. Finally, the risk assessment results of Support Vector Regression (SVR) and ACO-based SVR (ACO-SVR) are analyzed.

The results show that the overall sustainability of resource-based industrial clusters and IoT industrial clusters is good in the Yulin City of Shaanxi Province, and the early warning model of GA-based SVR (GA-SVR) has been achieved good results. Yulin City shows an excellent SD momentum in the resource-based industrial cluster, but there are still some risks. Therefore, it is necessary to promote the industrial structure of SD and improve the stability of the resource-based industrial cluster for Yulin City.

The results can provide a direction for the research on the early warning and evaluation of the SD-oriented resource-based industrial clusters and the IoT industrial clusters, promoting the application of SVM technology in the engineering field.