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Modernist theories in leadership were traditionally dominated by masculine incorporation and lacked feminine presence in development and language. The synergistic theory of leadership (SLT) seeks to explicate the need for a post‐modernist leadership theory by providing an alternative to, and not a replacement for, traditional theories. Six aspects particular to the SLT influence the ideas and include issues concerning diversity and the inclusion of the female voice in the theory. Four factors are key to the relational and interactive nature of the theory, which provides a useful framework for building and understanding the interdependent relationships. In a tetrahedron model, the theory uses four factors, including leadership behavior, organizational structure, external forces, and attitudes, beliefs, and values to demonstrate aspects not only of leadership but its effects on various institutions and positions. Developed through a qualitative approach, the theory has been validated qualitatively and quantitatively nationwide and is currently being validated internationally.

This paper aims to review the concept and characteristics of coworking space, especially physical and operational characteristics and its objectives. The authors propose three models of coworking spaces, such as revenue, synergistic and customer contact, which organizations can use as a part of their corporate real estate strategies to build workplace flexibility and resiliency. This paper also addresses research gaps and a research agenda for future research.

This paper is a literature review of academic research focusing on coworking spaces. Because of the relatively limited existing academic literature on the topic, industry sources and white papers are also reviewed.

The authors categorized common threads of the existing literature on coworking spaces to emergence and growth trends, the types of users, the type of work to be completed in these spaces, characteristics of coworking spaces and the desired outcomes of coworking space models. Coworking spaces are expected to grow worldwide because of the increase in knowledge-based economy, the “digital nomad” lifestyle and mobile technologies, however, there is limited research on the relationship between spatial and operational characteristics of coworking spaces and users’ collaboration, social well-being and creativity. No research identified fully articulated the nuanced differences between the types of coworking spaces now found in the real estate ecosystem.

There is limited academic, empirical research focusing on coworking spaces. Thus, the search for literature itself is limited to a small number of papers. Although the authors extended the search to non-academic sources, the conclusion of this study is tentative because of the prematurity of the topic.

This paper urges the identification of research questions, considering the fast growth of coworking spaces and suggests future research directions based on newly proposed models. Industry practitioners, including building owners, managers, coworking space providers and corporate real estate practitioners, can consider using variations of coworking space concepts and characteristics, as they understand the importance of social needs and connectivity among users. By addressing the history of the coworking space as a concept and business model, and updating the types of models to include new coworking spaces, the authors provide further options to industry practitioners as to how to integrate coworking into their real estate.

Understanding policy consequences for cities is very important in an urban setting, especially in this era of developing solutions for grand challenges. Climate change adaptation and smart cities are emerging topics in the climate change and sustainability domain. Therefore, this paper aims to achieve a better understanding of policy consequences and exploring synergies of climate change adaptation and smart cities are valuable for both research and practice.

This paper systematically reviews synergies of smart city applications in urban climate change adaptation literature. A systematic literature review and content analysis are carried out to answer the research questions and a theoretically based smart cities concept matrix with synergetic coproduction theory is used to assess the empirical studies.

Key findings are that the model of synergetic coproduction could identify the benefits co-existing in smart city and climate change adaptation. While smart people and smart government play the fundamental roles, synergies could co-occur in other smart city dimensions. Smart city applications in climate change adaptation could increase competitiveness in cities by exploiting the opportunities as well as reducing the harmful risks.

The outcomes of the smart city applications in climate change adaptation aim to contribute to the exploration of developing indicators for smart city studies in climate change.

The findings provide successful examples for city governments and stakeholders to identify the low-hanging fruits as well as win-win adaptations. The results could also serve as the exploration of indicators in the field of smart city in climate change. The smart cities concept with the synergetic coproduction theoretical model could be further developed into a sustainability accounting and reporting methodology for cities to improve their sustainability information management.

The successful cases showing benefits could serve as examples for public-private partnerships to develop strategies to exploit opportunities in smart city applications and climate change adaptation. The review results also show that the integrated approach of smart city and climate change adaptation is possible and beneficial – hopefully the city managers and policymakers will continue to apply the integrated approach with smart city and further climate action agenda.

This study combines two emerging topics in the assessment, climate change adaptation and smart cities, and represents a new way of assessing literature and possibly policy outcomes for the cities. By using the theoretical framework from smart cities and theory of coproduction, a theory-based framework is developed for assessing the empirical studies of climate adaptation in cities. The findings from the systematic literature review indicate relations among smart city dimensions in a clear manner and also identify the synergies of smart cities and climate adaptation.

The purpose of this study is to explore what is synergistic innovation in the logistics service outsourcing context and how this strategy can potentially benefit an organization by improving performance outcomes.

A total of 21 in-depth interviews were conducted to conceptualize the construct of synergistic innovation. In addition, a theory-based model is tested using data collected from 282 Chinese manufacturing firms that are currently engaged in logistics service outsourcing.

The results from the in-depth interviews reveal that synergistic innovation goes beyond just interactions on innovation but requires both parties to achieve synergies that otherwise cannot be achieved by individual party alone. In addition, the empirical analysis suggests that synergistic innovation can help firms improve both logistics service performance and market performance. This process is dynamic as knowledge integration capability influences the outcomes of synergistic innovation.

This study is among the first to conceptualize synergistic innovation. It also offers a practical scale that helps future studies effectively measure this construct. Moreover, the results of this study provide compelling insights into how managers can use logistics service outsourcing as an important source for improving innovation outcomes.

Public Sector Management and Strategy

This case will be useful for courses in information technology (IT) innovation, public–private partnership (PPP) and strategic management. However, the use of the case will differ on the basis of the target audience who could be students of master's course or executive development course. Detailed discussion can be done on co-innovation strategy followed in a public–private partnership and to understand how a PPP can be successful in enterprise solutions. Further, the understanding on how e-procurement and e-tendering solutions work can be gained through this case. This case should be positioned when the discussion for the planning strategy of IT innovation takes place.

SAP was a market leader in enterprise application software and empowered people across the globe to work more efficiently. The e-procurement solution for OILGIAN was managed by SAP LABS India. OILGIAN entrusted SAP with the task to design and implement the e-tendering solution. SAP appointed Ramakrishna Potluri, Lead Consultant, SAP, to manage the design and implementation of the e-tendering module as a part of e-procurement solution for the public sector. The reporting and the security concerns were stated by OILGIAN, and Potluri reassured that his competent team would comply with the needs. The main predicaments that he was going through were that how best he could take the proposition forward. Should he create the innovative solutions in-house or co-create with the customers? Which business models should he follow for this public–private co-innovation to be a predecessor of successful projects?

The case illustrates the following objectives: to discuss the co-innovation strategy followed in a public–private partnership; to understand how a public–private partnership can be successful in enterprise solutions; and to understand how e-procurement and e-tendering solutions work.

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The purpose of this paper is to contribute to the existing knowledge system of lean supply chain management (LSCM), i.e. by using main path analysis, and the authors extract the main development track of LSCM. It is advantageous for relevant scholars to deepen their understanding of this academic field from a bibliometrics view to grasp the future directions better.

Structuring a citation network with the processed data set containing 866 papers and relevant information collected from Web of Science (WoS). Conducting review analyses aiming at the main paths that are extracted from the above citation network.

There are two different evolution paths in LSCM field, i.e. improving corporate sustainability performance through combining lean and green practices, and seeking the balance between lean and agility to structure leagile supply chain for specific industries. LSCM research studies mainly focus on five aspects: (1) establishment and development of LSCM theory; (2) structuration of lean supply chain; (3) research studies of the relationship between LSCM and corporate performance; (4) supply chain evaluation system; and (5) review and vista of LSCM field. The intersection of two knowledge evolute routes would be Industry 4.0, which is an integrated theory system combining lean, agility, green and other supply chain thinking.

The data set collected from WoS cannot contain all the research studies about LSCM is the main research limitation. Sustainability, as represented by environmental performance, will continue to be a major pursuit of this field. Integrating LSCM in Industry 4.0 will be the next hotspot in LSCM field.

Providing the main research contents and common methods of LSCM field. It is conducive to deepening the understanding of relevant practitioners and scholars to LSCM field from a dynamic perspective.

To the best of the authors’ knowledge, it is the first time to reveal the knowledge diffuse trajectories of LSCM under different view with main path analysis. This study is unique that it provides a new view to understand the field of LSCM.

The purpose of this paper is to investigate gender differences in the formation of mental models of firm strategies.

The specific research question is how gender, social interaction, team psychological safety and synergistic knowledge development influence certain characteristics – complexity and centrality – of an individual's mental model of firm strategies. A survey was conducted on a sample of US business students enrolled in strategic management courses. Social interaction, team psychological safety and synergistic knowledge development were measured by use of multiple‐item seven‐point Likert scales. Mental models were constructed by the causal mapping method. Hierarchical regression analyses were used to test the hypotheses.

The regression analyses of the survey data support most of the hypotheses. Gender directly influences complexity and centrality in mental models of firm strategies and moderates the predictive influence of social interaction on synergistic knowledge development.

Possible limitations are the use of a student sample and of respondents as the sole data source. Future research could use managers as research subjects and multiple data sources and explore other determinants of the mental model of firm strategies.

The findings alert university educators about the importance of helping women develop high‐order knowledge and problem‐solving skills by understanding various business functions and synthesizing diverse perspectives. Corporate managers need to design and implement special mentoring and training programs for women with the aim of enriching their specific management knowledge. This study also suggests that women may increase their chance of developing strategic knowledge by proactively networking with senior managers.

This study on gender differences in accumulating management knowledge and skills helps us better understand the roots of and solutions to the gender gap in management and leadership positions. The most intriguing result is the demonstration of gender differences in the development of specific management knowledge. Biases against women not only contribute directly to the “glass ceiling”; more disturbingly, they negatively influence women's internal development of knowledge structures.

Quality management (QM) practices have long been suggested as a package to improve the quality performance of a company. Yet, empirical studies offered little support of this perspective as only a small set of QM practices were found to be conductive to quality improvement. By taking a new approach, the purpose of this paper is simultaneously evaluate the individual and synergistic effects of several key quality practices on operations performance.

Survey data were collected and used to test the proposed hypotheses. Hierarchical regression analyses were performed to assess the magnitude of synergistic effects and individual effects.

It is found in this study that the synergistic effects across QM practices are substantial in enhancing all operations performance dimensions whereas individual effect varies for different performance goals.

This study makes theoretical contributes to the field of QM by providing empirical support of the interdependence assumption of QM practices and resolving the inconsistent findings. Practically, the results suggest that in-depth implementation of various QM practices simultaneously can be highly effective to achieve performance improvement on all accounts. In addition, the positive additional individual effects also open up a firm’s strategic choices of where to focus the resource investment in the adoption process as long as the strategic focus can justify its contribution toward the desired performance goals.

This study aims to explore the strategic impact of R&D and export activity on the diverse dimensions of US manufacturing firms’ performance. It also explores, using a predictive analytic model, the interactive synergistic effect that R&D and exports have on firm performance.

This study presents an innovative two-stage regression-neural network approach. Complementing conventional statistical analysis, the predictive backpropagation neural network explores the relative impact of R&D and exports and their synergistic effect on firm performance.

This study demonstrates the significant and positive effect of R&D and export strategy/activity on the economic performance of leading US manufacturing firms, particularly on their market-based performance (i.e. sustained growth rate or SGR). Furthermore, this study finds that the synergistic effect of R&D and exports on short-term performance (i.e. return on investment) is positive in high-tech firms but negative in low-tech firms. However, the synergistic effect on SGR is increasingly positive regardless of the level of technology.

In addition to traditional statistical analysis, this study uniquely investigates the relative importance of selected strategic variables, along with R&D and export activity and their differential synergistic effects, for firms’ economic performance in contrasting industry settings (high-tech vs low-tech).

Based on commitment system theory and commitment-trust theory, this study aims to reveal the effects of participating teams’ multiple commitments (i.e. synergistic commitments and conflicting commitments) on the performance of open innovation projects through the mediating role of trusted knowledge interaction and vigilant knowledge interaction.

Primary survey data collected from 242 respondents of 47 open innovation projects in the manufacturing industry was used to test eight hypotheses. Correlations between multiple commitments, knowledge interaction and the performance of open innovation projects were investigated.

The findings reveal that synergistic commitments improve the performance of open innovation projects through enhancing trusted knowledge interaction. Synergistic commitments reduce the level of vigilant knowledge interaction, and the performance of open innovation projects follows an inverted U-shaped relationship with vigilant knowledge interaction. Conflicting commitments negatively moderate the effect of synergistic commitments on trusted knowledge interaction and vigilant knowledge interaction.

The authors extend commitment system theory and commitment-trust theory to open innovation project field. The findings bridge the gaps in isolated and static focus in previous commitment literatures and innovation management literatures, and provide practical guidance for how to better manage the dynamic combination of multiple commitments and knowledge interaction among participating teams in open innovation projects.