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Performance measurement and management (PMM) literature is highly abundant with numerous PMM frameworks encapsulating various aspects of enterprise performance that are largely driven by enterprise viewpoint. Considering dynamic nature of Indian telecom industry where customers hold high bargaining power in the industry, flexible strategy game-card has been adopted as a theoretical basis. The purpose of this study is to capture an “outside-in view” of enterprise performance by incorporating performance measurement from customers’ perspective and highlight dual perspectives of performance, i.e. enterprise and customers’.

Rigorous empirical data analysis tools have been used on the data collated through opinion survey to develop strategic performance management model for Indian telecom service providers where mediation effects of customers’-based strategic factors have also been captured.

The findings emphasize the fact that financial performance indicators are outcome variables that are driven by the external environment, internal organizational structure and business processes. An effective performance management system (PMS) should consist enabling performance indicators (customers’ perspective) in addition to leading and lagging performance indicators that are widely discussed in the literature.

The set of performance indicators identified is in the context of Indian telecom service operators, which should be used in another context with full caution. The generalization of the empirically validated strategic performance management model in other country context is limited. However, the process of development of PMS could be taken as an example to replicate in any other context.

Measuring an enterprise performance from customers’ perspective is the major contribution of this study. With the diverse set of performance indicators, effective PMS can be developed and deployed where tangible measures act as lagging indicators, namely, situational and operational, strategic measures act as leading indicators, and subscribers’ crucial assessment measures act as enabling indicators.

The purpose of this paper is to recognise the importance of the interplay between performance measurement, performance management, employee engagement and performance. However, the nature of this phenomenon is not well understood. Analysis of the literature reveals two dimensions of organisational control, technical and social, that are used to develop a conceptual framework for studying this phenomenon.

The authors conducted explorative action research involving pilot and control groups from two departments of a UK bank.

The authors show that an intervention on the social controls has led to changes in technical controls of the performance measurement system resulting in significant improvement in employee engagement and performance.

The research was undertaken with two cases from a single organisation. Further fine-grained, longitudinal research is required to fully understand this phenomenon in a wider range of contexts.

The paper contributes to the theory on performance measures and gives guidance on how organisations might design their performance measurement systems to enhance employee engagement and performance.

The study makes three contributions. First, the authors introduce a new theoretical framework based the organisational control theory providing a basis for future research. Second, through nine propositions, the authors establish a causal relationship between performance measurement, performance management, employee engagement and performance. Third, the authors identify a gap in knowledge concerning the design of organisational controls in the context of the process that is being managed.

Micro-enterprises have a vital role in the development of a nation by creating employment, encouraging entrepreneurship, balancing social income and educating the workforce. Yet, micro-enterprises face significant operational challenges such as low productivity, high production costs and long changeover times. These challenges are often overlooked by researchers and practitioners but have a drastic impact on micro-enterprises' operational performance. With over 95% of the economy consisting of micro-enterprises, it is vital to improve operational performance and competitiveness of the micro-enterprises.

Considering the data availability and practical challenges of gathering data from micro-enterprises, an action research methodology was selected as a suitable research method. Following the initial diagnostic visits, planned interventions were prepared and results were observed to gather data and draw conclusions.

Findings suggest that commonly adapted performance improvement initiatives by large enterprises cannot be directly applied in micro-enterprises to enhance operational performance. Micro-enterprises lack the critical resources and company culture to easily adapt these initiatives. On the other hand, when these performance improvement initiatives are filtered according to specific needs of micro-enterprises, continuous improvement initiatives were often found to be effective in improving operational performance. Specifically, 5S, single-minute exchange of dies (SMED), suggestion schemes, layout improvements, management coaching, visual management, empowerment were found to be useful and suitable to address command and control culture, low productivity, unorganised workspace, undelegated authority, low skilled employees and unwillingness to take responsibility problems.

Further research is required to investigate the specific factors that affect the adaptation of continuous improvement initiatives such as culture and industry type.

This research extends and contributes the current literature on continuous improvement initiatives by revealing how performance improvement initiatives need to be filtered according to the specific needs of micro-enterprises, and how these initiatives can be used to address specific problems to improve operational efficiency. It provides a conceptual framework to guide the decision-making process on operational performance improvement in micro-enterprises.

This study aims to identify key research clusters (or sub-fields) in the field of performance measurement research, analyse its historical development and propose future research avenues.

Several bibliometric analysis methods, including co-citation analysis and text mining techniques, were used to review papers published on performance measurement research.

This study reveals eight main clusters of research in this field, ranging from theoretical-focused clusters (e.g. strategic performance measurement) to practical-focused clusters (e.g. design of performance measurement). These clusters are further categorised into four groups based on the size and degree of connectedness. Regarding the analysis of historical development, the established clusters, such as supply chain management, remain important, while newer clusters, such as hospitality and humanitarianism, have recently gained increasing interest.

This study applies citation-based clustering, a type of bibliometric literature review method that has been underused in the field of performance measurement. Moreover, the results obtained from this study are also distinct from those of previous studies, offering valuable insights especially for researchers. With a comprehensive understanding of the field, researchers can use it to understand the key literature, observe ongoing developments within their specialisation and inform their future research directions.

The purpose of this paper is to address the following research question: how do the interlocking editorial advisory boards (EABs) of operations and supply chain management (OSCM) journals map out the field’s diverse academic communities and how demographically diverse is the field and its communities?

The study applies social network analysis (SNA) to web-based EAB data for 38 journals listed under operations management (OM) in the 2010 ABS Academic Journal Quality Guide.

The members of EABs of the 38 journals are divided into seven distinct communities which are mapped to the field’s knowledge structures and further aggregated into a core and periphery of the network. A burgeoning community of supply chain management academics forms the core along with those with more traditional interests. Male academics affiliated to the US institutions and to business schools predominate in the sample.

A new strand of research is opened up connecting journal governance networks to knowledge structures in the OSCM field. OM is studied separately from its reference and associated disciplines. The use of the ABS list might attract comments that the study has an implicit European perspective – however the authors do not believe this to be the case.

The study addresses the implications of the lack of diversity for the practice of OM as an academic discipline.

The confirmation of the dominance of particular characteristics such as male and US-based academics has implications for social diversity of the field.

As the first study of its kind, i.e. SNA of EAB members of OSCM journals, this study marks out a new perspective and acts as a benchmark for the future.