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This study aims to present Lean Six Sigma (LSS) deployment and sustainment strategies for the healthcare sector from a multi-level perspective. The objective is to present LSS implementation insights to enable policymakers, practitioners and academicians to test and develop an LSS framework for healthcare sectors.

The strategies identified are the result of a multi-method research design involving literature review, action research (AR) and Delphi study. Further, the AR portion of the study involved more than 10 years of projects focused on the deployment of LSS in the healthcare sector.

The strategies include a holistic view from the multi-level perspective, considering the Top Management Level, Middle Management Level and Operational Level. The authors ascertained 27 strategies across the three levels of organizational structure for the effective deployment of LSS. Further, the authors present a customized LSS “pocket guide” from the healthcare perspective for quick reference.

The strategies delineated in this study are based on the Indian healthcare section only; thus, further research in additional geographic contexts is needed. Also, further research is necessary to provide additional empirical validation of the effects of the identified strategies on LSS program outcomes and to verify that the strategies operate at the proposed organizational levels. Future research should also focus on identifying the interrelationships between strategies within and across levels, developing a “road map” for LSS implementation in hospitals and designing the LSS curriculum for medical schools and other medical training programs.

Observations of this study can contribute to developing a holistic framework for successful LSS implementation in the healthcare sector for academicians, practitioners and policymakers. This, in turn, ensures an enhanced value proposition, improved quality of life and reduced healthcare operational costs. Thus, it ensures a win-win situation among all the stakeholders of the healthcare sector.

The strategies put forth will enable the LSS researchers, academicians and, more particularly, practitioners to delve deeper into specific enablers and safeguard the LSS deployment from backlash. The research has two significant benefits. Firstly, it enhances the understanding of LSS from the healthcare perspective. Secondly, it provides direction for future studies with specific components for hospitals’ LSS framework, which can be further tested, refined and improved.

Drawing on Simons's levers of control (LoC) framework, the primary aim of this study is to advance an understanding of the balance between empowerment and constraint in a non-profit UK organisation. In particular, this study examines the antecedents and manifestations of LoC (im)balance, in relation to employees' level of engagement with the control systems in place.

For this study, 27 semi-structured interviews were conducted with different organisational members, from directors to non-managerial staff, to gain an in-depth appreciation of the main differences between managerial intentions in the design of management control systems (MCS) and employee perceptions regarding the role of such systems.

This research reveals that suppression of interactive systems and internal inconsistencies between different types of controls hinder the balance between empowerment and constraint. This imbalance is then found to have important consequences for employee buy-in, in some cases, defeating the purposes of control.

This study enhances our understanding of the gap between the design of control systems and the employee perceptions of it in an unusual organisational setting (non-profit and bringing together clinical and non-clinical staff and operations).

The study of MCS and its role in organisations has long been the focus of both academic and practitioner research. Yet, while extant literature focused on management's perspective on MCS, few studies have explored employees' attitudes and behaviours that accompany the implementation of control. What is more, little is known about the specific uses and behavioural outcomes of MCS in the context of non-profit organisations. Drawing on Simons's LoC framework, this paper addresses these gaps in the literature and investigates the balance between control and empowerment of employees in a UK non-profit organisation with significant clinical remit.

Smart cities boost economic growth around the world by changing to the smart environment, smart economy, smart technologies, smart human capital, smart infrastructure, and smart governance to improve economic growth and better use of limited resources. We justify the development model of the “smart city” concept in Russia within a green economy approach and the managerial relations of innovative smart projects implemented within the public–private partnership (PPP). Our toolkit allows us to assess the effectiveness of management decisions in the implementation of the “smart city” concept and to carry out continuous public–private monitoring of the effectiveness of innovations in implementing smart PPP projects. To this end, we propose and justify a new indicator of the effectiveness of managerial decision-making, taking into account the quality of the information received during the implementation of innovative PPP projects, which allows calculating the degree of utilization of the potential capabilities of a company participating in a PPP.

Understanding social organisations requires considerable effort because of their complex reality. The purpose of this paper is to analyse the performance and amateur form of management of an organisation of scavengers, with significant results for society.

This study is a qualitative in-depth case study. Data were collected through ethnographic interviews, non-participant observation and document analysis. The association of scavengers in question was identified as being strongly representative of the 23 similar associations in Curitiba. The city is the first Brazilian capital to create conditions for direct disposal of selective waste collected by waste pickers, as recommended by the National Solid Waste Policy.

Three main aspects of evidence are highlighted in the proposed model: unique features, performance management and multiplicity of practices. The findings showed a strong presence of utilitarian behaviour due to the need of the members of the organisation to generate income for survival, forcing social and environmental concerns into the background. The combination of community values, informal practices, collective learning and amateur management has had a positive effect on the social organisation’s performance.

The outcomes were identified for individuals, the community and society by contributing to social inclusion, economic growth and environmental care.

The differentiated approach lies in the convergence between performance and amateur management in social organisations, with relevant environmental, economic and social results. A model is proposed to demonstrate the complex relationship between unique features, multiplicity of practices and performance with regard to the amateur management analysed in this study.

The purpose of this paper is to explore the way in which system dynamics (SD) can enhance some key success factors of the balanced scorecard (BSC) model and support decision-makers, specifically in analyzing and evaluating the results of hypothetical scenarios. Moreover, the paper aims to emphasize the role played by statistics not only in validating the SD-based BSC, but also in increasing managers’ confidence in the model reliability.

The paper presents a case study, developed according to an action research perspective, in which a three-step approach to the BSC implementation was followed. Specifically, the first step requires the development and implementation of a “traditional” BSC, which is refined and transformed into a simulation SD model in the second step. Last, the SD-based BSC is combined with statistics to develop policy making and scenario analysis.

The integration of BSC and SD modeling enables the development of a comprehensive approach to strategy formulation and implementation and, more importantly, provides a more reliable basis upon which to build and test sound cause-and-effect relationships, within a specific BSC. This paper exemplifies how an SD-based BSC can be used – and perceived reliable – to evaluate different scenarios and mutually exclusive policy effects in a multidimensional approach. In particular, this study illustrates how to forecast and depict trends for financial and non-financial indicators over the simulation period, with reference to three different scenarios.

This paper contributes to the ongoing debate on the BSC by exploring whether a combination of SD and statistics may enhance the BSC system’s advantages and facilitate its implementation process and use for decision-making and scenario analysis.

The purpose of this paper is to examine the literature on third sector performance measurement system design.

A systematic literature review was undertaken. The abstracts of 917 articles identified from a database search were examined and, of these, 110 papers were put forward for full paper review. Totally, 55 papers were subsequently selected for the literature synthesis.

The findings examine the important questions of why and how the performance of third sector organizations is measured. The analysis of the sample of works suggests a potential methodological mismatch between the rationale for measuring the performance of third sector organizations and the measurement methods that are currently employed.

The study raises provocative questions about the usefulness of third sector performance measurement approaches, which may lead third sector managers to critically examine current practice.

As the papers in the synthesis are drawn from a broad range of journals, the review provides a multi-disciplinary discussion of the key themes of third sector performance measurement system design. Recent studies have been published simultaneously, suggesting that there has been limited opportunity for synthesis of this work. This study therefore offers a springboard for further research in this area.

The purpose of this paper is to intend as a contribution to the performance evaluation of Third Sector organisations (TSOs). The Italian experience on the development and adoption of harmonised indicators is considered here as an example of problems and possible solutions.

Preliminary analysis shows that, in the Italian situation, two main gaps exist. The first one relates to the incomplete statistical information on the magnitude and performance of TSOs; the second is related to the lack of a set of harmonised indicators. To address these problems, two initiatives have been recently set up in Italy. On the one hand, the newly presented “National Strategy on Social Corporate Responsibility – 2012-2014” has been oriented to fill the statistical gap, by extending the compilation of socio-economic and environmental accounts to TSOs; on the other hand, a joint initiative of the Italian Statistical Institute and the CSR Manager Network Italia towards the harmonisation of the “Global Reporting Initiatives-quantitative performance indicators” and the standards of the Italian statistical system. Within the second initiative, a specific sub-set of performance indicators for TSOs is proposed and presented in this paper.

The Italian experiences reported here, together with the set of proposed indicators, can be used to improve data collection and to move towards a common framework for performance evaluation in the TSOs.

The main contribution of the proposed set of indicators is to: first, provide standard definitions and clear calculation methods; second, define quantitative measurements allowing for aggregation; and third, promote data collection and performance evaluation in a context, as the Italian one, where statistical information for TSOs is largely incomplete.

The purpose of this paper is to analyze the impact of smart city initiatives and big data on supply chain management (SCM). More specifically, the connections between smart cities, big data and supply network characteristics (supply network structure and governance mechanisms) are investigated.

An integrative framework is proposed, grounded on a literature review on smart cities, big data and supply networks. Then, the relationships between these constructs are analyzed, using the proposed integrative framework.

Smart cities have different implications to network structure (complexity, density and centralization) and governance mechanisms (formal vs informal). Moreover, this work highlights and discusses the future research directions relating to smart cities and SCM.

The relationships between smart cities, big data and supply networks cannot be described simply by using a linear, cause-and-effect framework. Accordingly, an integrative framework that can be used in future empirical studies to analyze smart cities and big data implications on SCM has been proposed.

Smart cities and big data alone have limited capacity of improving SCM processes, but combined they can support improvement initiatives. Nevertheless, smart cities and big data can also suppose some novel obstacles to effective SCM.

Several studies have analyzed information technology innovation adoption in supply chains, but, to the best of our knowledge, no study has focused on smart cities.

This study aims to explore the influence of field-level funding pressure and resource dependency on conflicting institutional logics in implementing a new performance measurement system (PMS) within a privatised social enterprise (SE) in a developing country. It answers the research question: how accounting-based key performance indicators (KPIs) were chosen within a privatised SE to maintain co-existence between two different institutional logics, the social and commercial logics, to gain legitimacy in the government funding scheme.

This study expands the application and contribution of the Besharov and Smith’s (2014) logics multiplicity framework to previous management accounting literature on PMS and institutional logics. It adds a new dimension to previous literature to theorise the cognitive dynamics of institutional logics at three distinct but interrelated institutional levels, namely, field, organisational and individual. Data come from an interpretive case study of an Egyptian SE, involved in implementing a social project (drinking water refining) in rural communities.

PMS acts as a political tool through which the privatised case company has gained societal acceptance and legitimacy in the government funding scheme. Its non-political KPIs have turned into political tools to meet the institutional demands of the funding scheme. This government involvement represents field-level institutional logics, which influenced the organisational-level interplay of commercial and social logics and then the individual-level choice of internal KPIs. This contributes to the fact that institutional logics and their interplay between these three levels are “in a state of flux” within SEs’ internal PMS.

This study deals with a real-life practical case that proves the prevalence of one institutional logic over another at both the organisational and individual levels may be occasioned by organisational field pressures and opportunities rather than by other intra-organisational conflicts as discussed in most previous literature on PMS and institutional logics.

Lean Six Sigma (LSS) has been one of the most widely used quality improvement initiatives over the last decade. However, the success rate of LSS is dismally poor, and most organizations discontinue LSS initiatives prematurely. The purpose of this paper is to answer the question why do organizations discontinue LSS initiatives?

To understand the discontinuance mechanism of LSS initiatives, the authors selected two companies. One from the manufacturing and one from service sector in India. The companies were selected as they had initially implemented LSS, and later within six years had discontinued the initiatives. Four projects from each company were studied using case study methodology.

This study finds 11 factors due to which the organizations discontinue LSS initiatives. The factors are poor success rate, unrealistic expectations from LSS, unsustainable results, misuse of statistics, large tool set, unsupportive and uncommitted top management, lack of training and development, lack of synergy of LSS and business strategy, lack of link between LSS and customer needs, wrong projects selection and premature discontinuation of LSS experts. The study further discusses the discontinuance mechanisms of LSS using propositions.

LSS is one of the most widely used initiatives in the organizations. Such initiatives involve costs. Earlier studies have reported that many organizations discontinue the LSS initiatives resulting in a loss or not meeting the intended goals. This paper will help the practitioners as well as organizations to understand why organizations discontinue LSS and take prompt actions for its success.

Earlier studies on LSS address the critical success factors, and this paper addresses those about failures by studying organizations that have discontinued LSS. The present study finds 11 factors that are responsible for discontinuing LSS in organizations. In addition, propositions are developed for future research and empirical testing. This study also offers further insights into the discontinuance mechanisms involved in LSS.