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This paper aims to contribute to the debate on the drivers of the productivity gap that exists between the UK and its major international competitors.

From the macro perspective the paper explores the quantitative evidence on the productivity differentials and how they are measured. From the micro perspective, the article explores the quantitative evidence on the role of management practices claimed to be a key determinant in promoting firm competitiveness and in bridging the UK gap.

This study suggests that management practices are an ambiguous driver of firm productivity and higher firm performance. On the methodological side, qualitative and subjective measures of either management practices or firm performance are often used. This makes the results not comparable across studies, across firms or even within firms over time. Productivity and profitability are often and erroneously interchangeably used while productivity is only one element of firm performance. On the other hand, management practices are multi‐dimensional constructs that generally do not demonstrate a straightforward relationship with productivity variables. To assume that they are the only driver of higher productivity may be misleading. Moreover, there is evidence of an inverse causal relationship between management practices and firm performance. This calls into question most empirical results of the extant literature based on the unidirectional assumption of direct causality between management practices and firm performance.

These and other issues suggest that more research is needed to deepen the understanding of the UK productivity gap and more quantitative evidence should be provided on the way in which management practices contribute to the UK competitiveness. Their impact is not easily measurable due to their complexity and their complementary nature and this is a fertile ground for further research.

This paper brings together the evidence on the UK productivity gap and its main drivers, provided by the economics, management and performance measurement literature. This issue scores very highly in the agenda of policy makers and academics and has important implications for practitioners interested in evaluating the impact of managerial best practices.

The purpose of this paper is to give evidence of effective, large-scale, and time-sustained goal setting through the use of performance indicators (PIs) in managing a fairly large and decentralized social-security organization, despite indications that the motivational effects of goal setting are hard to sustain in the long term.

The authors analyze five years of monthly organizational performance data across 30 regional offices and five activities to identify the links between PIs and productivity.

The authors identify correlations that demonstrate a cycle where low performance scores on indicators increase productivity in the next period, but high performance decrease it, thus renewing the cycle.

While long-term gains in the productivity are not the direct product of goal setting, the close relationship between goals and productivity illustrates the motivational potential of communicable targets and close feedback that led to a culture of performance within the organization.

The case studied demonstrates how a performance management system can be designed and managed so that long-term fatigue is avoided while maintaining a dynamic workforce that adapts in the face of environment change by increasing its efforts as needed.

This paper answers a call to connect management control studies with managerial work done in practical settings.

This study aims to identify critical factors and examine their impact on alliance performance from an organizational learning point of view.

A modified total interpretive structural modeling (M-TISM) methodology was used in this study. The different paths/links in the developed M-TISM model were further validated by using the Mahindra-Ford alliance case study.

In this study, a total of seven critical factors were identified using an extensive literature review, and a hierarchical model was developed. Results show that prior alliance experience, inter-partner learning, knowledge transfer, absorptive capacity and knowledge internalization have a positive on the alliance productivity and performance. Furthermore, the findings indicate that prior alliance experience remains essential for alliance productivity and performance, while knowledge transfer and absorptive capacity can contribute to inter-partner learning and knowledge internalization in strategic alliances.

This study can help managers and policymakers to understand the identified critical factors from an organizational learning perspective and understand their impact on the alliance performance in a competitive environment. The managers should know that previous alliance experience, learning from partner firms, building an absorptive capacity, etc., are necessary to achieve superior alliance productivity and performance. For academicians, the M-TISM methodology used in this study can provide a mechanism to perform exploratory research and build a hierarchical model in different management research fields.

The study fills research gaps by identifying key factors, developing a hierarchical model, and examining their impact on the performance of strategic alliances in the Indian automotive industry.

The purpose of this paper is threefold: first, to analyse the current state of the literature on the relationship between quality management (QM) and productivity as a performance indicator; second, to identify the key constructs of QM practices related to productivity; and, finally, to reveal whether QM can actually be regarded as a determinant of productivity.

This research was carried out through a systematic literature review, considering 150 papers that studied this relationship between 1997 and 2017 and another 37 papers on the internal determinants of productivity.

The findings revealed that human resource management, top management and process management were the more relevant constructs of QM practices related to productivity. In addition, 89 per cent of the internal determinants of productivity were related to the proposed constructs of QM practices, which suggest that QM is a determinant factor of productivity.

This review analysed the literature on the relationship between QM and productivity, as few studies have done before, generating original, interesting and useful findings that can guide future research and that also represent a useful tool for researchers, practitioners, managers and policy makers.

This study aims to test the impact of the coronavirus (Covid-19) pandemic on large firms, with regard to a supply disruption, productivity, customer satisfaction and firm performance.

A cross-sectional survey design and stratified sampling technique were implemented for employee selection and data gathering. Confirmatory factor analysis (CFA) was used to examine the data and model fitness, while the structural equation model was used for hypotheses testing.

The pandemic triggered supply disruptions, but did not significantly impact the productivity of manufacturing firms directly. However, supply disruption positively and significantly impacted productivity. Organisational productivity had no significant impact on customer satisfaction, however, when mediating the relationship between Covid-19 and customer satisfaction, it produces a positive indirect effect. Finally, Covid-19 and supply disruption when mediated by organisational productivity both had negative significant relationships on performance.

Having a unique model, it creates a trail for future researchers to explore further. Though customer satisfaction was expected to be affected by the pandemic, it is interesting to find out that customer satisfaction when mediated by organisational productivity was positively influenced.

Disruptions are inevitable, managers must balance the pursuit of customer satisfaction and productivity so that one does not erode the other. Emphasis must be channelled towards managing the productivity of the firm to maintain customer satisfaction during these uncertain times. Deliberate steps like manufacturing flexibility investments should be initiated.

The first study to examine Covid-19, supply disruption, customer satisfaction, organisational productivity and performance in the Nigerian manufacturing sector.

As sustainable performance has a central role in the small and medium enterprises (SMEs) performance literature, this study aims to examine the influence of networking capabilities in enhancing sustainable performance through knowledge workers’ productivity and digital innovation. It also examines the sequential mediating role of knowledge workers’ productivity and digital innovation on networking capabilities and SMEs’ sustainable performance relationship.

Data were collected from 308 knowledge workers in the information technology sector and analyzed using the Hayes Process Macro bootstrapping method to test the proposed hypotheses.

Results indicate that knowledge workers’ productivity and digital innovation individually and sequentially mediate the relationship between networking capabilities and SME’s sustainable (economic and environmental) performance, surprisingly, they do not act as a mediator between networking capability and SME’s social performance. SMEs should prioritize investments in the professional development of their knowledge workers through training and skill enhancement programs. This investment equips knowledge workers with the tools to effectively use the knowledge and resources acquired through networking. Thus, knowledge workers may improve performance by using these resources to tackle challenges.

Although this research focused on this specific context, it is prudent to acknowledge that additional factors may also exert influence on sustainable performance within SMEs, factors that managers may consider when making decisions. Methodologically, the cross-sectional design of this research poses a potential limitation, as it does not allow for the complete elimination of endogeneity concerns. However, it is worth noting that scholars have endorsed the use of cross-sectional data in cases where management researchers aim to expand beyond well-documented and longitudinal data sets.

This research offers practical recommendations for SMEs to improve their sustainable performance through networking. SMEs should seek partnerships with complementary knowledge to improve operations and for other performance-oriented benefits.

This study adds significantly to the literature on sustainable SME performance by studying the interdependent effects of networking capabilities. It also represents the individual and sequential mediation mechanism that links networking capabilities to SME success through knowledge worker productivity and digital innovation.

The purpose of this paper is to address potential effects of the control element in quality management. First, behavioural theories on how elements of performance management can affect organisational performance are examined. Second, theoretical models on how perceptions of work conditions may impact well-being and performance are considered. Direct and indirect pathways from performance management to productivity/quality are inferred.

Matched employee-workplace data from an economy-wide survey in Britain and two-level structural equation models are used to test the hypothesised associations.

The use of practices in workplaces is inconsistent with a unified performance management approach. Distinct outcomes are expected from separate components in performance management and some may be contingent on workplace size. For example, within quality planning, strategy dissemination is positively associated with workplace productivity; targets are negatively associated with perceptions of job demands and positively correlated with job satisfaction, which in turn can increase workplace productivity. With respect to information and analysis: keeping and analysing records, or monitoring employee performance via appraisals that assess training needs, are positively associated with workplace productivity and quality.

This paper illustrates how control in quality management can be effective. Although the merits of performance management are subject to ongoing debate, arguments in the literature have tended to focus on performance appraisal. Analyses of economy-wide data linking performance management practices, within quality management, to employee perceptions of work conditions, well-being and aggregate performance are rare.

This study aims to investigate whether strategy pillars have a positive direct effect on organizational productivity performance (OPP) in the Indonesian HEI (Higher Education Institutions) research setting and, if so, whether the effect is mediated by a performance management system (PMS).

This study used quantitative research employing partial least square structural equation modeling (PLS-SEM) to test the hypotheses. A mediation model of the research framework was developed to investigate the mediating role of PMS.

Using a sample of 182 Indonesian HEI managers, the results indicate that strategy pillars have a positive effect on OPP. Further analysis shows that PMS partially mediates the strategy pillar–OPP relationship.

This study has limitations. Firstly, the sample size used was relatively small and this may raise the issue of generalization. Secondly, it used a Likert scale and therefore may raise the issue of judgment bias. Lastly, this study is context-specific for Indonesia and caution should be used when generalizing it to other countries.

To enhance the HEIs productivity performance, the HEI managers should develop strong strategy pillars for the purpose of effective strategy formulation and execution.

This study provides a model showing how to improve the HEIs productivity performance by employing strategy pillars and a PMS. The better the performance of the HEIs, the better the quality of life of society in the era of the knowledge economy.

Strategy pillars have rarely been researched. This study is therefore one of the few studies on strategy pillars. This study also provides new elements related to measuring strategy pillars, PMS and OPP in the context of HEIs in Indonesia as an emerging economy.

In today’s business world, competition is no longer about resources accumulated, but the emphasis is now placed more on the actual accumulation and utilization of knowledge within the organization. Attention has shifted drastically from just acquiring wealth in the organization to an era where knowledge and learning within the organization becomes more critical and important to the organizational survival and continuous growth as put forward by this paper. This paper investigated the effect of organizational learning and effectiveness on operations, employee productivity and management performance. This paper aims to add to scholarly works and knowledge on organizational learning.

Random and stratified sampling techniques were used. Data collection was done with the use of a questionnaire and analyzed using confirmatory factor analysis and hierarchical multiple regression.

The result from the data analyzed shows that there is a positive relationship between organizational learning and effectiveness, operations, employees’ productivity and management performance suggesting that organization learning impact is encompassing because it affects and influences the effectiveness and efficiency of all the staff at every level within the organization.

Organizations should strive and do everything possible to ensure organizational learning because this study is in an era where knowledge and learning within the organization are more critical and important to organizational survival and continuous growth.

The study demonstrates that the only way to fast-track growth in every sphere of the organization is to ensure organizational learning as it influences the effectiveness and efficiency of all the staff at every level within the organization.

This paper aims to design a hybrid model of knowledge-based performance management system (KBPMS) for facilitating Lean Six-Sigma (L6s) application to increase contractor productivity without compromising human safety in Indonesian upstream oil field operations that manage ageing and life extension (ALE) facilities.

The research design applies a pragmatic paradigm by employing action research strategy with qualitative-quantitative methodology involving 385 of 1,533 workers. The KBPMS-L6s conceptual framework is developed and enriched with the Analytical Hierarchy Process (AHP) to prioritize fit-for-purpose Key Performance Indicators. The application of L6s with Human Performance Modes analysis is used to provide a statistical baseline approach for pre-assessment of the contractor’s organizational capabilities. A comprehensive literature review is given for the main pillars of the contextual framework.

The KBPMS-L6s concept has given an improved hierarchy for strategic and operational levels to achieve a performance benchmark to manage ALE facilities in Indonesian upstream oil field operations. To increase quality management practices in managing ALE facilities, the L6s application requires an assessment of the organizational capability of contractors and an analysis of Human Performance Modes (HPM) to identify levels of construction workers’ productivity based on human competency and safety awareness that have never been done in this field.

The action research will only focus on the contractors’ productivity and safety performances that are managed by infrastructure maintenance programs for managing integrity of ALE facilities in Indonesian upstream of oil field operations. Future research could go toward validating this approach in other sectors.

This paper discusses the implications of developing the hybrid KBPMS- L6s enriched with AHP methodology and the application of HPM analysis to achieve a 14% reduction in inefficient working time, a 28% reduction in supervision costs, a 15% reduction in schedule completion delays, and a 78% reduction in safety incident rates of Total Recordable Incident Rate (TRIR), Days Away Restricted or Job Transfer (DART) and Motor Vehicle Crash (MVC), as evidence of achieving fit-for-purpose KPIs with safer, better, faster, and at lower costs.

This paper does not discuss social implications

This paper successfully demonstrates a novel use of Knowledge-Based system with the integration AHP and HPM analysis to develop a hybrid KBPMS-L6s concept that successfully increases contractor productivity without compromising human safety performance while implementing ALE facility infrastructure maintenance program in upstream oil field operations.