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Management is a blended discipline with characteristics of both science and art. The component science is to be learnt and art to be practiced. This art component of management education is the really challenging part, and this is where the management educational institutions build their uniqueness. The present management education needs a paradigm shift in order to fulfill the growing futuristic demands of the industry. The quality gaps identified through review of literature are preach–practice, industry–institution linkages, quality faculty, updated curriculum, soft skills development, research, online platforms and updated pedagogies. The researcher has taken an attempt to do a dyadic study in India.

The researcher has taken an attempt to do a dyadic study in India to analyze the perception of the management faculty and management students toward filling the quality gaps for a futuristic management education. The study has included 125 management faculties and 1200 management students through simple random sampling, and the data are collected through survey method.

The independent “t” test has been applied. The management faculties exhibit high degree of acceptance for filling the quality gaps such as research gaps, online platforms and industry and institution linkages since the mean scores are 4.22, 4.20 and 4.14 respectively. The management students exhibit high degree of acceptance for filling the quality gaps such as online platforms, updated pedagogies and soft skills development since the respective mean scores are 3.87, 3.85 and 3.82.

The research area chosen for the study is reflecting the scenario of management education in developing countries such as India. The scenario may differ to developed countries.

When the quality of the management education is enriched, it will create global management professionals who will contribute qualitatively to the industries and uplift the overall global economic developments.

The present study is enriching the existing literature review, by comparing the perception of both the counterparts, the management faculty and students, about the teaching and learning process. Thus, it can be concluded that the outcome of this study is relevant for the management educational institutions, and the need of the hour for the management education is definitely to fill the quality gaps, and all the management educational institutions have to be prepared enough to overcome the gaps with the support of their well-planned strategies. The futuristic demands are ever growing, even then the gap between the present and future expectations of the industry need to be well considered and bridged. As a result of the paradigm shift, the quality of the management education will be enriched, and it will create global management professionals. As a result of this quality-conscious education, a reputed brand image and set of loyal customers may also be developed (Akareem and Hossain, 2016). The learners of quality management education will contribute qualitatively to the industries and uplift the overall global economic developments. Further research is needed to measure the post impact of filling the quality gaps in the arena of management education.

The quality gaps identified through review of literature are preach–practice, industry–institution linkages, quality faculty, updated curriculum, soft skills development, research, online platforms and updated pedagogies.

The purpose of this paper is to provide a strategic framework and tool to measure and value intellectual capital (IC) in regional clusters.

A theoretical cluster strategic framework is presented and cluster fundamentals are discussed for proper model development. Design methodology was used to construct a model which achieves the aforementioned purpose.

The paper provides a comprehensive model to describe, map, measure and value IC on clusters and systematically control the IC evolution.

The system provided is not an exhaustive use of all the available measures. A more comprehensive practical application on several clusters would be necessary to validate and readapt the model.

A very useful tool of information and practical assessment for IC is provided to cluster agents and policymakers to establish proper strategic initiatives. New ideas about IC measurement in clusters are provided to academia.

So far, no IC cluster model has been designed. This paper fulfils an IC measurement model to help individuals involved in clusters, such as mangers, policymakers, etc.

Modular integrated construction (MiC) is an innovative and effective manufacturing-based method of construction that has become the mainstream development direction of projects in Hong Kong (HK). However, large-scale promotion of MiC practice still needs efforts. A pressing concern is that the impact of relevant policies on stakeholders during project implementation is rarely explored in depth. Therefore, to fill the research gap, this study aims to investigate the influence of policies on stakeholders to drive the successful implementation of MiC in HK.

This study uses a strategy of multiple methods. First, a comprehensively literature review and survey were adopted to identify critical policies and stakeholders. Second, semi-structured interviews with 28 experts were conducted to quantify their relationships. Third, three policy–stakeholder networks at initiation, planning and design and construction stages were established using social network analysis.

Environmental protection policy, COVID-19 pandemic policy and environmental protection policy and quality acceptance standard for project completion are found to be the most important policies of the three stages, respectively. The HK government and developers are highlighted as prominent stakeholders influencing policy implementation at all three stages. The dynamics of the influence stakeholders receive from critical policies at different stages of MiC are discussed. Valuable recommendations are accordingly proposed to enhance the successful implementation of MiC projects from the perspective of various stakeholders.

This study contributes to the body of knowledge by considering the mediating influence of stakeholders during policy implementation in the MiC uptake, and is valuable in helping policymakers to deeply understand the influence of policies to further forward successful MiC implementation and practicality in HK.

The purpose of this paper is to develop a coherent theory and strategy for the achievement of quality outcomes that is meaningful and relevant to people at all levels of society. These should help the quality professional engage with people at all levels of society in the development of a culture that appreciates quality, systems and excellence. The research draws on the work of the community quality councils movement in the USA and sought to build on this experience in a village in northwest Ireland.

Action research employing an ethnographic type approach to a four year immersion period in a small industrious community. Its inductive nature and naturalist mode of enquiry did not lend itself to either the generation or analysis of quantitative data. Nevertheless it yielded many rich complex pictures or patterns of qualitative information requiring long periods of reflection to decipher the sense and meaning in them.

The findings can be encapsulated in one sentence “To achieve quality outcomes we must practise excellence and maintain systems that are fit for purpose”. This requires a radical reworking of Deming’s system of profound knowledge (SoPK) to make it relevant to the human complex adaptive systems that permeate the twenty-first century. These operate as autonomous service providers in a rapidly changing environment.

The findings of this research have transferability to all sectors in society pursuing purposeful activity. It is relevant at individual, interest-group, industry, institution and community level. It should make the development of a “quality culture” more attainable at all levels.

Provides quality professionals with new terminology and imagery to engage with, analyse and help autonomous human activity systems in the twenty-first century. It moves Deming’s SoPK to a new level more suited to human systems.

By explaining quality, excellence and systems in easily understood and accepted terms the Grange Excellence Model allows every individual, interest-group, industry and institution share the same language and images as they pursue quality outcomes. This unified approach could transform communities and society in general.

The research generates a seismic shift in the appreciation of quality, excellence and systems making them relevant and meaningful to people at all levels of society. This provides quality professionals with a methodology, images and vocabulary that will facilitate productive engagement with purposeful systems at all levels of complexity.

Existing conceptual, empirical and case studies evidence suggests that manufacturing industries find the joint implementation of Kaizen philosophy initiatives. However, the existing practices rarely demonstrated in a single framework and implementation procedure in a structure nature. This paper, therefore, aims to develop, validate and practically test a framework and implementation procedure for the implementation of integrated Kaizen in manufacturing industries to attain long-term improvement of operational, innovation, business (financial and marketing) processes, performance and competitiveness.

The study primarily described the problem, extensively reviewed the current state-of-the-art literature and then identified a gap. Based on it, generic and comprehensive integrated framework and implementation procedure is developed. Besides, the study used managers, consultants and academics from various fields to validate a framework and implementation procedure for addressing business concerns. In this case, the primary data was collected through self-administered questionnaire, and 244 valid questionnaires were received and were analyzed. Furthermore, the research verified the practicability of the framework by empirically exploring the current scenario of selected manufacturing companies.

The research discovered innovative framework and six-phase implementation procedure to fill the existing conceptual gap. Furthermore, the survey-based and exploratory empirical analysis of the research demonstrated that the practice of the proposed framework based on structured procedure is valued and companies attain the middling improvements of productivity, delivery time, quality, 5S practice, waste and accident rate by 61.03, 44, 52.53, 95.19, 80.12, and 70.55% respectively. Additionally, the companies saved a total of 14933446 ETH Birr and 5,658 M² free spaces. Even though, the practices and improvements vary from company to company, and even companies unable to practice some of the unique techniques of the identified CI initiatives considered in the proposed framework.

All data collected in the survey came from professionals working for Ethiopian manufacturing companies, universities and government. It is important to highlight that n = 244 is high sample size, which is adequate for a preliminary survey but reinforcing still needs further survey in terms of generalization of the results since there are hundreds of manufacturing companies, consultants and academicians implementing and consulting Kaizen. Therefore, a further study on a wider Ethiopian manufacturing companies, consultants and academic scale would be informative.

This work is very important for Kaizen professionals in the manufacturing industry, academic and government but in particular for senior management and leadership teams. Aside from the main findings on framework development, there is some strong evidence that practice of Kaizen resulted in achieving quantitative (monetary and non-monetary) and qualitative results. Thus, senior management teams should use this research out to practice and analyze the effect of Kaizen on their own organizations. Within the academic community, this study is one of the first focusing on development, validating and practically testing and should aid further study, research and understanding of Kaizen in manufacturing industries.

So far, it is rare to find preceding studies proposed, validated and practically test an integrated Kaizen framework with the context of manufacturing industries. Thus, authors understand that this is the very first research focused on the development of the framework for manufacturing industries continuously to be competitive and could help managers, institutions, practitioners and academicians in Kaizen practice.

This paper aims to shed light on the linkage between research and development (R&D) networks and public funding presented in a given period by using network-based evaluation tools as a means of exploring the relational dimension in public projects designed to foster technology R&D activities.

This research uses co-occurrence network analysis of relevant public projects to assess how technological associations might occur within the R&D activities of given publicly funded projects as well as conducts correlation analysis to understand the extent to which linkages of R&D activity in technology fields are related to public expenditure.

Core technology fields, regarded as eligible to receive continued public funding, are critical for enhancing competitiveness and sustainable growth at the nationally strategic technology level. Thus, the relationship between R&D and the level of government funding for these fields is generally perceived as strong. However, a few technology fields, which did not actively form specific network relationships with other technology fields, are considered to exceptionally drive the largest government support. This trend indicates that the government-funded R&D should be designed and managed not only to curb the inefficiencies existing in the current funding programs but also to achieve the appropriateness for further technology development.

Despite the comprehensive findings, this study has several limitations. First, it is difficult to control any confounding factors, such as the determinants and constraints of the government budget allocation and expenditure decisions over S&T areas, strategic frameworks for public investment and evolving policy landscapes in technology sectors, which lead to bias in the study results. Second, this study is based on a narrow, single-year data set of a specific field of projects supported by the Korean government’s R&D program. Therefore, the generalization of findings may be limited. The authors assumed that influences caused by confounding variables during the initial phase of the public funding schemes would not be significant, but they did not take into account possible factors that might arise coincident with the subsequent phase changes. As such, the issue of confounding variables needs to be carefully considered in research design to provide alternative explanations for the results that have been ruled out. The limitations of this study, therefore, could be overcome by comparing the outcome difference between subsidized and non-subsidized R&D projects or evaluating targeted funding schemes or tax incentives that support and promote various areas of R&D with sufficiently large, evidence-based data sets. Also, future research must identify and analyze the R&D activities concerning public support programs performed in other countries associated with strategic priorities to provide more profound insight into how they differ. Third, there are some drawbacks to using these principal investigators-provided classification codes, such as subjectivity, inaccuracy and non-representation. These limitations may be addressed by using content-based representations of the projects rather than using pre-defined codes. Finally, the role that government investment in R&D has played in developing new science and manufacturing technologies of materials and components through network relationships could be better examined using longitudinal analysis. Furthermore, the findings suggest the need for further research to integrate econometric models of performance outcomes such as input–output relations into the network analysis for analyzing the flow of resources and activities between R&D sectors in a national economy. Therefore, future research would be helpful in developing a methodological strategy that could analyze temporal trends in the identification of the effects of public funding on the performance of R&D activity and demand.

Public funding schemes and their intended R&D relationships still depend on a framework to generate the right circumstances for leading and promoting coordinated R&D activities while strengthening research capacity to enhance the competitiveness of technologies. Each technology field has a relatively important role in R&D development that should be effectively managed and supervised to accomplish its intended goals of R&D budgeting. Thus, when designing and managing R&D funding schemes and strategy-driven R&D relations, potential benefits and costs of using resources from each technology field should be defined and measured. In this regard, government-funded R&D activities should be designed to develop or accommodate a coordinated program evaluation, to be able to examine the extent to which public funding is achieving its objectives of fostering R&D networks, balancing the purpose of government funding against the needs of researchers and technology sectors. In this sense, the examination of public R&D relations provides a platform for discussion of relational network structures characterizing R&D activities, the strategic direction and priorities for budget allocation of the R&D projects. It also indicates the methodological basis for addressing the impact of public funding for R&D activities on the overall performance of technology fields.

The value of this work lies in a preliminary exploratory analysis that provides a high-level snapshot of the areas of metallurgy, polymers/chemistry/fibers and ceramics, funded by the Korean Government in 2016 to promote technological competitiveness by encouraging industries to maintain and expand their competencies.

The purpose of this paper is to present and analyze a case study on the design of a system of sustainable development indicators for an electric utility.

The case study is based on collaboration with an electric utility and consultation with external experts. A six‐step process was used to create the indicators: conduct a needs assessment; conduct process planning; develop a draft set of indicators; test and adjust the indicators; implement the indicators; and review and improve the indicators.

The case study demonstrates how existing projects impact the process of developing indicators. It highlights that any system of indicators must be linked to the business planning process. It shows how this may be accomplished through a design based on a hierarchical approach that also illustrates linkages between the indicators and incorporates existing measures.

The first three steps of the indicator design process have been completed. Research on the remaining three steps is ongoing.

Applying the principles of sustainable development has become an essential part of doing business. This paper illustrates how sustainable development indicators may be developed and integrated with existing business infrastructure at an electric utility.

Even in companies with strong corporate responsibility programs, a key challenge is to construct meaningful indicators that are integrated with mainstream business systems. Although it is recognized that each situation is unique, this paper provides insight into the development of indicators within existing corporate infrastructures.

Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.

The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.

The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.

Industry-wide crises involving consumer products place consumers at risk. Consumers rely on institutions that constrain corporate practice and control product quality to reduce risk. As institutions vary by country, country-of-origin (COO) acts as a salient cue for consumers to identify institutional quality and thus evaluate risk when making purchase decisions. However, in the era of globalisation, identification of institutional quality becomes complex as global value chains involve different countries such as brand origin (BO) and country-of-manufacture (COM). Therefore, this research investigates how BO and COM individually and jointly affect consumers' institutional perceptions and subsequent purchase decision-making in the presence of systemic risk.

This research includes three studies (n = 764) employing surveys and choice modelling experiments with samples from China and the USA.

The results show that BO and COM relate to different institutional perceptions. BO evokes perceptions of legitimacy and the regulatory environment, while COM evokes perceptions of the normative and the regulatory environment. The combination of BO and COM determines how institutional quality is communicated and further affects consumers' legitimacy perceptions, preferences and willingness to pay a price premium.

This research contributes to understanding the effect of BO and COM in the context of complex value chains from an institutional perspective. It also provides implications for leveraging complex COO cues with BO and COM information to improve consumers' institutional perceptions.