Research opportunities in performance measurement in public utilities regulation

2015 ◽  
Vol 64 (7) ◽  
pp. 994-1017 ◽  
Author(s):  
Sandra Rolim Ensslin ◽  
Leonardo Ensslin ◽  
Lucas dos Santos Matos ◽  
Ademar Dutra ◽  
Vicente Mateo Ripoll-Feliu
Keyword(s):  
Performance Measurement ◽  
Inductive Logic ◽  
Secondary Data ◽  
Public Utilities ◽  
Future Research ◽  
Content Type ◽  
Systemic Analysis ◽  
Technical Procedure ◽  
Research Theme ◽  
Utilities Regulation

Purpose – The purpose of this paper is to propose a method to choose a set of scientific articles about performance measurement in public utilities regulation. The method is designed to identify references with high academic relevance in databases accessed via the internet, and, through these articles, to perform a mapping of these publications and conduct a systemic analysis. Design/methodology/approach – The study is characterized as exploratory and descriptive with a qualitative and quantitative approach. Incorporates an inductive logic, and draws on primary and secondary data sources. The research involves the application of a technical procedure for selection and study of selected articles. To this end, the process selected was the Knowledge Development Process – Constructivist (ProKnow-C). Findings – The result was a set of 16 renowned scientific articles and, for these papers, the main periodicals, papers, authors and keywords of the topic stood out. The content analysis allowed the identification of highlights and opportunities for future research. Originality/value – The originality of the paper lies in presenting a structured process for identifying relevant academic articles relating to the research context and, for these articles, find prominences and opportunities for a research theme without similar papers.

Ambiguity in public sector performance measurement: a systematic literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chiara Oppi ◽  
Cristina Campanale ◽  
Lino Cinquini
Keyword(s):  
Public Sector ◽  
Literature Review ◽  
Performance Measurement ◽  
Systematic Literature Review ◽  
Field Research ◽  
Future Research ◽  
Academic Journal ◽  
Content Type ◽  
The Public ◽  
Study Results

PurposeThis paper presents a systematic literature review aiming at analysing how research has addressed performance measurement systems’ (PMSs) ambiguities in the public sector. This paper embraces the ambiguity perspective that PMSs in public sector coexist with and cope with existing ambiguities.Design/methodology/approachThe authors conducted a literature review in Scopus and ScienceDirect, considering articles published since 1985, and the authors selected articles published in the journals included in the Association of Business Schools' Academic Journal Guide (Chartered ABS, 2018). Of the 1,278 abstracts that matched the study’s search criteria, the authors selected 131 articles for full reading and 37 articles for the final discussion.FindingsThe study's key findings concern the elements of ambiguity in PMSs discussed in the literature. The study’s results suggest that ambiguity is still a relevant problem in performance measurement, as a problem that is impossible to be solved and therefore needs to be better understood by researchers and public managers. The analysis allows us to summarize the antecedents and consequences of ambiguity in the public sector.Research limitations/implicationsThe key findings of the study concern the main sources of ambiguity in PMSs discussed in the literature, their antecedents and their consequences. The study results suggest that ambiguity exists in performance measurement and that is an issue to be handled with various strategies that can be implemented by managers and employees.Practical implicationsManagers and researchers may benefit from this research as it may represent a guideline to understand ambiguities in their organizations or in field research. Researchers may also benefit from a summary list of the key issues that have been analysed in the empirical cases provided by this research. Social implicationsThis research may provide insights to limit ambiguity and thus contribute to improve performance measurement in the public sector.Originality/valueThis research presents a comprehensive review on the topic. It provides insight that suggests what future research should attend to in helping to interpret ambiguity, considering also what should be done to influence ambiguity.

An experimental investigation of the impact of using big data analytics on customers’ performance measurement

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marwa Rabe Mohamed Elkmash ◽  
Magdy Gamal Abdel-Kader ◽  
Bassant Badr El Din
Keyword(s):  
Big Data ◽  
Performance Measurement ◽  
Data Analytics ◽  
Positive Impact ◽  
Big Data Analytics ◽  
Unstructured Data ◽  
Future Research ◽  
Web Based ◽  
Content Type ◽  
The Impact

Purpose This study aims to investigate and explore the impact of big data analytics (BDA) as a mechanism that could develop the ability to measure customers’ performance. To accomplish the research aim, the theoretical discussion was developed through the combination of the diffusion of innovation theory with the technology acceptance model (TAM) that is less developed for the research field of this study. Design/methodology/approach Empirical data was obtained using Web-based quasi-experiments with 104 Egyptian accounting professionals. Further, the Wilcoxon signed-rank test and the chi-square goodness-of-fit test were used to analyze data. Findings The empirical results indicate that measuring customers’ performance based on BDA increase the organizations’ ability to analyze the customers’ unstructured data, decrease the cost of customers’ unstructured data analysis, increase the ability to handle the customers’ problems quickly, minimize the time spent to analyze the customers’ data and obtaining the customers’ performance reports and control managers’ bias when they measure customer satisfaction. The study findings supported the accounting professionals’ acceptance of BDA through the TAM elements: the intention to use (R), perceived usefulness (U) and the perceived ease of use (E). Research limitations/implications This study has several limitations that could be addressed in future research. First, this study focuses on customers’ performance measurement (CPM) only and ignores other performance measurements such as employees’ performance measurement and financial performance measurement. Future research can examine these areas. Second, this study conducts a Web-based experiment with Master of Business Administration students as a study’s participants, researchers could conduct a laboratory experiment and report if there are differences. Third, owing to the novelty of the topic, there was a lack of theoretical evidence in developing the study’s hypotheses. Practical implications This study succeeds to provide the much-needed empirical evidence for BDA positive impact in improving CPM efficiency through the proposed framework (i.e. CPM and BDA framework). Furthermore, this study contributes to the improvement of the performance measurement process, thus, the decision-making process with meaningful and proper insights through the capability of collecting and analyzing the customers’ unstructured data. On a practical level, the company could eventually use this study’s results and the new insights to make better decisions and develop its policies. Originality/value This study holds significance as it provides the much-needed empirical evidence for BDA positive impact in improving CPM efficiency. The study findings will contribute to the enhancement of the performance measurement process through the ability of gathering and analyzing the customers’ unstructured data.

Bibliometric and Systemic Analysis on Material Flow Mapping and Industrial Ecosystems

2018 ◽  
Vol 03 (04) ◽  
pp. 1850001 ◽  
Author(s):  
Gisele Bortolaz Guedes ◽  
Lucas Barboza Zattar Paganin ◽  
Milton Borsato
Keyword(s):  
Material Flow ◽  
Operation Mode ◽  
Future Research ◽  
Productive Capacity ◽  
Flow Mapping ◽  
Main Research ◽  
Systemic Analysis ◽  
Research Theme ◽  
Research Problems ◽  
Industrial Ecosystems

Global instability can be seen as a reflection of the increasing demand for natural resources and the reduction of personnel expenditures. Yet, this is often associated with industrial systems, whose main objectives are to increase productive capacity and reduce costs. This scenario identifies the need for changes in strategy establishment in the organization’s operation mode focusing on sustainable development. Industrial ecosystems, through the symbiotic relationship of industries, aim to achieve sustainability goals. Material flow mapping is essential for the construction of these industrial ecosystems. Hence, the present paper carries out a structured literature review process in order to identify the state of the art and the research opportunities on material flow mapping and industrial ecosystems. For the accomplishment of this research, the methodological procedure called Knowledge Development Process — Constructivist (ProKnow-C) was adopted. The bibliographic portfolio is represented by 35 articles of the research theme. Throughout the bibliometric analysis, a statistical analysis of the articles that compose the portfolio is presented. In the systemic analysis, the main research problems, the means of solving them and the detected opportunities about this research theme are identified. Finally, conclusions and recommendations for future research are presented.

Research on capital structure determinants: a review and future directions

2017 ◽  
Vol 13 (2) ◽  
pp. 106-132 ◽  
Author(s):  
Satish Kumar ◽  
Sisira Colombage ◽  
Purnima Rao
Keyword(s):  
Capital Structure ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Secondary Data ◽  
Theoretical Models ◽  
Order Theory ◽  
Organizational Level ◽  
Future Research ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to study the status of studies on capital structure determinants in the past 40 years. This paper highlights the major gaps in the literature on determinants of capital structure and also aims to raise specific questions for future research. Design/methodology/approach The prominence of research is assessed by studying the year of publication and region, level of economic development, firm size, data collection methods, data analysis techniques and theoretical models of capital structure from the selected papers. The review is based on 167 papers published from 1972 to 2013 in various peer-reviewed journals. The relationship of determinants of capital structure is analyzed with the help of meta-analysis. Findings Major findings show an increase of interest in research on determinants of capital structure of the firms located in emerging markets. However, it is observed that these regions are still under-examined which provides more scope for research both empirical and survey-based studies. Majority of research studies are conducted on large-sized firms by using secondary data and regression-based models for the analysis, whereas studies on small-sized firms are very meager. As majority of the research papers are written only at the organizational level, the impact of leverage on various industries is yet to be examined. The review highlights the major determinants of capital structure and their relationship with leverage. It also reveals the dominance of pecking order theory in explaining capital structure of firms theoretically as well as statistically. Originality/value The paper covers a considerable period of time (1972-2013). Among very few review papers on capital structure research, to the best of authors’ knowledge; this is the first review to identify what is missing in the literature on the determinants of capital structure while offering recommendations for future studies. It also synthesize the findings of empirical studies on determinants of capital structure statistically.

Performance measurement and management for manufacturing SMEs: a financial statement-based system

2017 ◽  
Vol 21 (1) ◽  
pp. 17-36 ◽  
Author(s):  
Moujib Bahri ◽  
Josée St-Pierre ◽  
Ouafa Sakka
Keyword(s):  
Performance Measurement ◽  
Low Cost ◽  
Secondary Data ◽  
Specific Area ◽  
Financial Statements ◽  
Financial Statement ◽  
Business Practices ◽  
Content Type ◽  
Overall Performance ◽  
Probabilistic Sample

Purpose The purpose of this paper is to propose a performance measurement and management system (PMMS) for small- and medium-sized enterprises (SMEs) based on an analysis of the connections between the firm’s business practices and financial results as reported in the financial statements. Design/methodology/approach Secondary data on the business practices and financial statements of 108 Canadian manufacturing SMEs were taken from a private database. Items from financial statements were used to measure the firm’s performance in specific areas such as sales and current assets management, while net profit was used to measure the overall performance. Information about the level of adoption of more than 120 business practices by the sampled firms was also used. Step-wise regression was then performed for two consecutive years to identify the business practices that had significantly influenced the items in the financial statements. Findings The findings show that an understanding of the business practice/financial statement connection can be useful in managing SME performance. The regression analyses provide rich and interesting results. They indicate that some practices influence performance quickly, while others have a deferred effect. In addition, some practices have impacts that are significant in specific areas of the organization but insignificant in terms of overall performance, while others affect the firm’s overall performance but not the specific area they are intended to improve. Research limitations/implications The main limitation of the study is the non-probabilistic sample. However, the sampled SMEs vary widely in their characteristics, which should partially mitigate the negative impacts of a non-probabilistic sample. Practical implications The paper offers a useful and low-cost PMMS for SMEs, using information that is easily available to owner-managers. It shows that SME performance can be managed using a simple system built around the firm’s financial statements. Originality/value The study is one of the first to empirically test the connection between an extensive list of SME business practices and the financial results presented in the firms’ financial statements.

A systematic review of Lean in healthcare: a global prospective

2019 ◽  
Vol 36 (8) ◽  
pp. 1370-1391 ◽  
Author(s):  
Jiju Antony ◽  
Vijaya Sunder M. ◽  
Raja Sreedharan ◽  
Ayon Chakraborty ◽  
Angappa Gunasekaran
Keyword(s):  
Systematic Review ◽  
Manufacturing Sector ◽  
Secondary Data ◽  
Healthcare Sector ◽  
Future Research ◽  
Motivating Factors ◽  
Healthcare Organizations ◽  
Content Type ◽  
The Usa ◽  
The Uk

Purpose Fostered by a rapid spread beyond the manufacturing sector, Lean philosophy for continuous improvement has been widely used in service organizations, primarily in the healthcare sector. However, there is a limited research on the motivating factors, challenges and benefits of implementing Lean in healthcare. Taking this as a valuable opportunity, the purpose of this paper is to present the key motivating factors, limitations or challenges of Lean deployment, benefits of Lean in healthcare and key gaps in the literature as an agenda for future research. Design/methodology/approach The authors used the secondary data from the literature (peer-reviewed journal articles) published between 2000 and 2016 to understand the state of the art. The systematic review identified 101 articles across 88 journals recognized by the Association of Business Schools ranking guide 2015. Findings The systematic review helped the authors to identify the evolution, current trends, research gaps and an agenda for future research for Lean in healthcare. A bouquet of motivating factors, challenges/limitations and benefits of Lean in healthcare are presented. Practical implications The implications of this work include directions for managers and healthcare professionals in healthcare organizations to embark on a focused Lean journey aligned with the strategic objectives. This work could serve as a valuable resource to both practitioners and researchers for learning, investigating and rightly adapting the Lean in the healthcare sector. Originality/value This study is perhaps one of the comprehensive systematic literature reviews covering an important agenda of Lean in Healthcare. All the text, figures and tables featured here are original work carried by five authors in collaboration (from three countries, namely, India, the USA and the UK).

A review of facilities management performance measurement

2019 ◽  
Vol 37 (4) ◽  
pp. 490-511 ◽  
Author(s):  
Daniel Amos ◽  
Zairul Nisham Musa ◽  
Cheong Peng Au-Yong
Keyword(s):  
Performance Measurement ◽  
Design Methodology ◽  
Systematic Approach ◽  
Web Of Science ◽  
Future Research ◽  
Facilities Management ◽  
Content Type ◽  
Slow Pace ◽  
The Past ◽  
Key Issues

Purpose The purpose of this paper is to present a comprehensive review of facilities management (FM) performance measurement (PM) research within the past two decades to understand existing gaps in FM PM literature. Design/methodology/approach The paper employs a systematic approach to review papers in FM PM published from 1997 to 2017. The articles published in selected peer-reviewed international journals in the last 20 years were collected by conducting literature search in the Web of Science and Scopus databases. The content of the papers were scrutinized to understand the gap in literature. Findings The review depicts a slow pace of FM PM research characterized by diverse and fragmented performance measures, whereas the existing PM frameworks are at the nascent stage. Research limitations/implications The judgments of the paper are based on the 54 papers selected for the critical review and analysis that should be treated as key issues in FM PM research agenda. The review also excludes energy management. Originality/value The paper identifies the gaps in the current PM literature in FM and set propositions for future research which is of utility and relevance to FM researchers more especially on the existing conceptual frameworks. To the best of the authors’ knowledge, this paper is the first attempt to conduct a review on FM PM in the extant literature.

Big data and performance measurement research: trends, evolution and future opportunities

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alberto Sardi ◽  
Enrico Sorano ◽  
Valter Cantino ◽  
Patrizia Garengo
Keyword(s):  
Big Data ◽  
Performance Measurement ◽  
Performance Measurement System ◽  
Future Research ◽  
Holistic View ◽  
Content Type ◽  
Digital Revolution ◽  
Research Opportunities ◽  
And Performance ◽  
Number Of Publications

Purpose Current literature recognised big data as a digital revolution affecting all organisational processes. To obtain a competitive advantage from the use of big data, an efficient integration in a performance measurement system (PMS) is needed, but it is still a “great challenge” in performance measurement research. This paper aims to review the big data and performance measurement studies to identify the publications’ trends and future research opportunities. Design/methodology/approach The authors reviewed 873 documents on big data and performance carrying out an extensive bibliometric analysis using two main techniques, i.e. performance analysis and science mapping. Findings Results point to a significant increase in the number of publications on big data and performance, highlighting a shortage of studies on business, management and accounting areas, and on how big data can improve performance measurement. Future research opportunities are identified. They regard the development of further research to explain how performance measurement field can effectively integrate big data into a PMS and describe the main themes related to big data in performance measurement literature. Originality/value This paper gives a holistic view of big data and performance measurement research through the inclusion of numerous contributions on different research streams. It also encourages further study for developing concrete tools.

Humanitarian supply chain management frameworks

2019 ◽  
Vol 26 (6) ◽  
pp. 1749-1780 ◽  
Author(s):  
Sachin Agarwal ◽  
Ravi Kant ◽  
Ravi Shankar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Performance Measurement ◽  
Research Trend ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Measurement Framework ◽  
Humanitarian Supply Chain ◽  
Humanitarian Supply Chain Management

Purpose The purpose of this paper is to examine and compare extant framework in humanitarian supply chain management (HSCM) and to propose a framework on humanitarian supply chain (HSC) performance measurement based on the content, context and process. Design/methodology/approach The structured keywords, namely humanitarian supply chain (HSC), humanitarian logistic (HL), humanitarian relief chain (HRC) and humanitarian chain (HC) as an exact phrase were searched in the title, abstract and keywords in the academic database. A total of 66 peer-reviewed articles were selected for analysis purpose that reports framework from the reviewed literature. These selected frameworks are categorized in dimensions, namely framework novelty, framework source, recognize elements/constructs of framework, comparative analysis of the framework and in-depth study of HSCM performance measurement. Findings The analysis reveals that the majority of these developed frameworks are novel and academic based. Case study is most prominent research methodology in the development of HSCM framework. Lack of coordination among humanitarian stakeholders is the major challenge in the empirical implementation of framework. This study proposes future research trend toward a unified HSCM framework that will facilitate to uncover the coherent set of elements/constructs in the field of HSCM. Research limitations/implications This study considers peer-reviewed articles published in English language, and excludes conference papers, working articles, technical data/reports and book chapters. Practical implications This study categorizes new dimension for framework analysis and proposed an HSC performance measurement framework which gives new insights to the academicians, practitioners and policy makers for future work. Social implications This examination gives the establishment to facilitate investigation of viable, efficient and effective HSCM, and detail opportunities for practices. Originality/value This study critically analyzes 66 frameworks under the different criteria to identify research gap and trends. Furthermore, this study proposes the HSC performance measurement framework.

Strategy for crowdsourcing competitions- aligning seeker, solver and supporter efforts

2019 ◽  
Vol 35 (11) ◽  
pp. 4-6
Author(s):  
B.S. Kiran
Keyword(s):  
Collective Intelligence ◽  
Qualitative Interviews ◽  
Secondary Data ◽  
Primary Data ◽  
Future Research ◽  
Exploratory Research ◽  
Content Type ◽  
Critical Elements ◽  
Innovative Solutions ◽  
Archival Documents

Purpose The paper presents the pros and cons of crowdsourcing competitions and highlights the importance of strategy and collaborative efforts. The study identifies the key stakeholders of crowdsourcing and its critical elements (7Ps) that need to be mapped and managed efficiently for obtaining innovative solutions. Design/methodology/approach The paper draws its insights from the explorative research conducted over a two-year period (2016-18). Qualitative interviews held with competition organizers, participants and innovation intermediaries (Innocentive, Nine Sigma, Skild) provided the primary data. Secondary data came from literature survey and the study of archival documents and competition websites. The study was conducted as a part of doctoral research. Findings Crowdsourcing competitions can help organizations to discover innovative solutions by tapping the power of collective intelligence. However, they need to envision and execute these collaborative initiatives strategically and synergistically. Proper design, managerial buy-in and orchestrated efforts by the triumvirate ‘Seekers, solvers and supporters’ are critical to derive the desired outcomes. Research limitations/implications These findings are the resultant outcomes of an exploratory research. Further investigation can help companies to identify the relative importance of the critical elements identified in the study. Future research on the best practices can amplify the prospects of finding innovative solutions through crowdsourcing competitions. Practical implications Crowdsourcing competitions cannot be used impulsively and indiscriminately. Managers have to carefully align the motive and incentive of different actors. Attention to design and the critical factors identified in the study can enhance the prospects of getting qualitative and innovative submissions from the crowd. Social implications Crowdsourcing competitions have great potential to find innovative solutions for many stubborn global problems. When designed and driven rightly, it can expand the solution mix and accelerate the discovery process. Originality/value The paper highlights the need to converge the efforts for diverse stakeholder in crowdsourcing competitions. There are actionable insights for managers in form of 7 Ps- Purpose, Problem, Prize, Platform, Promotion and Partners. When aligned effectively, it can yield innovation dividends to all. By focusing on these vital factors, companies can fine-tune their crowdsourcing strategy and make the initiative more engaging and create value for all the actors.

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