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This article reviews the extensive history of dynamic performance research, with the goal of providing a clear picture of where the field has been, where it is now, and where it needs to go. Past research has established that job performance does indeed change, but the implications of this dynamism and the predictability of performance trends remain unresolved. Theories are available to help explain dynamic performance, and although far from providing an unambiguous understanding of the phenomenon, they offer direction for future theoretical development. Dynamic performance research does suffer from a number of methodological difficulties, but new techniques have emerged that present even more opportunities to advance knowledge in this area. From this review, I propose research questions to bridge the theoretical and methodological gaps of this area. Answering these questions can advance both research involving job performance prediction and our understanding of the effects of human resource interventions.

Regardless of its relevance for economic development, the influence of strategic orientation by innovation orientation, and strategic marketing by marketing capability on firm performance, this interesting study focused on firms with strategic industries (defense and security) in Indonesia. It approached the gap in three ways. Initially, the examination was conducted on the role of innovation orientation, marketing capability, the interaction of innovation orientation and marketing capability on firm performance. The next step was considering the contribution of state-owned enterprise (SOE) and non-SOE. Finally, this relationship was studied in strategic industries of firms in Indonesia. The firm performance in this study, which we chose, was operational performance. The proposed conceptual model would be tested by distributing questionnaires to 41 firms in Indonesia. This study gave insight into the matters, which should be the companies’ focus, to improve their operations’ performance. By using PLS-based structural equation modeling (SEM) analysis, the results of the relationship between innovation orientation, marketing capability, and the interaction between innovation orientation and marketing capability on operational performance were identified. The findings could be clarified via the variations in the characteristics of enterprises (SOE and non-SOE). Moreover, there were clear variations in the findings, which were recognized among the firms’ relatively different characteristics. The main finding was a challenge to generalize the relationship from strategic orientation and strategic marketing to performance. The results of firm characteristics also had considerable managerial relevance. The authors recommend strategic industries (defense and security) in Indonesia in achieving operational performance excellence. Management’s importance is paying attention to the relationship between innovation orientation, marketing capability, and dynamic capability in running a company organization.

Social enterprises (SEs), part of the third sector, are hybrid organizations combining the pursuit of social scopes with commercial business solutions. In seeking for social value, they pair for-profit and non-profit features, thereby compensating for shortcomings of both the public sector and the commercial market. Therefore, the performance management of such organizations assumes a crucial relevance. Among the available tools, the balanced scorecard (BSC) aims to capture performance multidimensionality, at the same time fostering legitimacy towards stakeholders.

In general terms, the BSC has the limit to follow a linear and static logic of construction and functioning. For this reason, scholars combine it with system dynamics (SD) to create dynamic balanced scorecards (DBSCs). However, literature seems to devote scarce attention to the adoption of such analytic tools in the third sector, particularly in SEs. This chapter wants to contribute to bridging this gap by proposing a tailored application in the context of a social cooperative, active in the clothing recycle and in the re-integration of disadvantaged social categories. By referring to previous literature about DBSC, two modelling strategies are identified: the BSC-driven and the SD-driven. The latter, based on inductive reasoning, is the one privileged for the study because of its wider flexibility. The modelling outputs consider different perspectives than the ones within traditional BSCs, contain elements of circular causality and show how financial and non-financial performances interplay and co-determine each other. Insights from the proposed model can be useful to support both decision-making and stakeholder engagement.

Purpose: The purpose of this study is to assess the main and interaction effects of activity-based costing (ABC), internal information systems integration (IISI), and external information systems integration (EISI) on manufacturing plant operational performance, controlling for plant characteristics.

Methodology/approach: The study uses survey data from a cross-section of 369 U.S. manufacturing plants. Data were analyzed using hierarchical regression model.

Findings and implications: The results indicate partial support for the main and two-way interaction effects on plant operational performance. The three-way interaction effects are significant and positive, suggesting that deploying all three resources (i.e., ABC, IISI, and EISI) leads to the higher plant operational performance.

Originality/value: The paper significantly extends prior research and contributes to the understanding of the main and interaction effects of ABC, IISI, and EISI on manufacturing plant operational performance. The paper would also be of interest to practitioners interested in keeping up with academic literature.

Many studies have proven that innovation performance is an important factor that increases corporate’s performance. In this context, companies need to be successful in innovation management, and they need to innovate. The technological turbulence that may occur in the sector where the companies are located will affect the innovation performance negatively if the companies fail to manage innovation. As a result of factors such as increasing competitive pressure with globalization, the elimination of time and space obstacles of technology, expanding purchasing alternatives, and increasing awareness levels, the newest products bring the highest revenues. These developments have led to a dramatic increase in the importance of developing new products as a competitive weapon, making product innovation an important element of the organizational strategy. Therefore, innovation strategies to be implemented and dynamic skills that are owned are needed to be managed correctly by companies. In this study, innovation management, technological turbulence, innovation strategies, and dynamic capabilities are examined.

Over the past few years, mathematical and computational models of organizations have attracted a great deal of interest in various fields of scientific research (see Lin & Carley, 1993 for review). The mathematical models have focused on the problem of quantifying the structural (mis)match between organizations and their tasks. The notion of structural congruence has been generalized from the problem of optimizing distributed decision-making in structured decision networks (Pete, Pattipati, Levchuk, & Kleinman, 1998) to the multi-objective optimization problem of designing optimal organizational structures to complete a mission, while minimizing a set of criteria (Levchuk, Pattipati, Curry, & Shakeri, 1996, 1997, 1998). As computational models of decision-making in organizations began to emerge (see Carley & Svoboda, 1996; Carley, 1998; Vincke, 1992), the study of social networks (SSN) continued to focus on examining a network structure and its impact on individual, group, and organizational behavior (Wellman & Berkowitz, 1988). Most models, developed under the SSN, combined formal and informal structures when representing organizations as architectures (e.g., see Levitt et al., 1994; Carley & Svoboda, 1996). In addition, a large number of measures of structure and of the individual positions within the structure have been developed (Roberts, 1979; Scott, 1981; Wasserman & Faust, 1994; Wellman, 1991).

The current chapter focuses on environmental and organizational factors that affect the performance appraisal context, performance evaluations, and rating accuracy. Drawing on the extant literature and focusing on current organizational practices, we propose a dynamic multi-level model of performance rating that takes these distal factors into consideration. In doing so, we also provide propositions explicating causal linkages between these distal factors, more proximal performance appraisal factors, and ultimately the accuracy of performance ratings. Furthermore, we identify current and emerging directions in performance appraisal research and practice. The implications of the current and emerging trends are then discussed in the context of our proposed model.

Purpose: Case studies are detailed empirical investigations into a complex entity that emphasize the uniqueness of the case and are valuable for making a theoretical contribution. We aim to reveal the types of theoretical contributions case study research can make to the field of strategy and management and explore how case study design can create the opportunities for making a theoretical contribution.

Methodology/Approach: The dynamic capability approach focuses on the firm-specific processes through which firms integrate, build, or reconfigure resources. A comprehensive review of case studies in this field is conducted in five search engines, resulting in a data set of 13 in-depth case studies.

Findings: We demonstrate that using case studies to extend and refine theory enhances knowledge in the field of dynamic capabilities. In strategy and management research, case studies identify and refine constructs and their relationships, develop and confirm propositions, and embed constructs within a larger set of relationships. We reveal that sampling strategy, research setting, and multiple lenses are aspects of case study design that create opportunities for making a theoretical contribution.

Practical Implications: We suggest that case study researchers strategically and purposefully sample cases, vary the setting conditions, or draw upon numerous research fields to make a theoretical contribution.

Originality/Value of Paper: Going beyond the current discussion, we show that case studies have the potential to extend and refine theory. We shed new light on how dynamic capabilities can benefit from case study research by discovering the antecedents that shape the development of capabilities and determining the boundary conditions of the dynamic capabilities approach.