Search results

This conceptual paper presents a proposal for improving a performance measurement (PM) system implementation process based on enterprise engineering (EE) guidelines, which gives the process a sense of completeness.

This paper analyzes a well-known process for PM systems implementation organized in two phases: identifying, designing and implementing the top-level performance measures; and cascading the top-level measures and identify appropriate lower-level performance measures. The proposed improvements to the studied process derive from the EE guidelines, which establish a basis for the structure of an organizational management system, the formalization and synchronization of processes, performance expectations, exception handling and change management.

The study reveals that not all EE guidelines are covered by the analyzed process, with four of them having no evidence of being adopted: involvement of people in process design and implementation; ensuring interoperability between different systems in the information structure; addressing of all possible exceptions; coherence and consistency of semantics across all processes.

By the lens of EE guidelines, this paper advances a how-to-guide. This paper can support managers and researchers on PM system design and implementation, given the importance and relevance of EE recommendations having a consistent and well-structured procedure.

This study aims to conduct a literature review on factors that influence the implementation and design of performance measurement systems in nonprofit organizations.

The research strategy is conceived through a literature review focused on the analysis of authorship, supported by bibliometric techniques such as citation, co-citation and co-authorship social networks.

Models and theories proposed for measuring performance in non-profit organizations are being researched, starting to form an intellectual structure related to performance measurement systems and nonprofits. Three main research topics have been given more attention: strategic performance and public service performance, health-care performance and nonprofit operations strategy and performance measurement.

The study is limited to scientific journal papers and could benefit from the addition of new sources of information such as conference papers, books and standards. The body of knowledge of this topic could also benefit from an in-depth investigation through a comprehensive review of models and theories, as a proposal for a future research agenda.

As practical applications are identified, groups of researchers in different countries and subjects that can generate research agendas, scientific communities used to investigate issues related to performance in nonprofit activities.

Performance measurement in nonprofit organizations is a topic of study that has been receiving considerable attention in recent years, to the point that the literature is revealing specific models for measuring performance in this type of organizations. Particular models and theories are being conceived, specializing existing models and theories related to performance measurement and management.

The purpose of this research is to examine the factors that influence the design of performance measurement systems (PMSs) in nonprofit organizations (NPOs) and public administration and explore inter-relationships among these factors.

Findings resulted through the identification of design factors from the paper portfolio of a previous systematic literature review on this topic and the construction of a factor co-occurrence network for the identified factors. 

The methodology helped to determine the relationships among factors and show how these factors influence PMSs in NPOs and public administration. It also helped to demonstrate how PMSs in these organizations are different from PMSs in traditional companies because of the impact of the factors on the complexity and dynamics of NPOs and public administration. The findings and discussion contribute to the performance measurement literature on NPOs and public administration by presenting a set of design factors related to purpose, stakeholders and management.

This paper presents practical implications for managers regarding the PMS design process and shows how some design factors can be particularly related to these organizations

The design factors are particular to the organizational dynamic and should be considered by managers involved with the design (or redesign) process of performance measurement systems.

The purpose of this paper is to propose a set of guidelines to be used for diagnosing and (re)designing organizational systems based on Hoshin Kanri – a management framework that is recognized for building the link between strategy and business execution.

A two-step approach was used in this research work. A systematic literature review (SLR) was used to find relevant references related to Hoshin Kanri that could serve as sources for recommendations. After completing the SLR, content analysis was used to define the recommendations and analyze them, deriving a set of guidelines.

A collection of recurring topics was identified through content analysis. These topics can be interpreted as central aspects for Hoshin Kanri application. Topics were eventually categorized and one guideline was developed for each one of the categories, which resulted in a total of 23 guidelines. Guidelines were grouped in two dimensions (context and process) and also according to their central aspect (organizational culture, capabilities, focus, alignment, integration and review).

Although Hoshin Kanri has been widely applied in Japan and also in large companies over the past 50 years, it is not as widely explored in research papers as other frameworks. Literature often focuses on Hoshin Kanri only as a process and not as an organization-wide holistic system. There are few empirical studies about its conceptual assumptions and practical implications and no systematization of the main aspects that ensure the effective application of Hoshin Kanri in a universal manner.

In the performance measurement and management research field, the applicability of performance measurement systems (PMS) in nonprofit organizations (NPOs) and public administration has been considered a challenge. The diversity of these organizations makes it difficult to define proper terminology and organizational characteristics. PMS evolution has not yet been able to capture all performance dimensions of a public administration and, especially for NPO considering its dynamic and multiple goals. The purpose of this paper is to provide a conceptual framework that identifies and classifies the factors that influence the design of PMSs in NPOs and public administration.

The study was developed through a systematic literature review (SLR). A set of 29 papers were intensely studied, and the results provide a multi-disciplinary and holistic set of factors.

A set of ten factors that influence the design of PMSs in NPO and public administration were found. They were categorized into three groups: factor related to purpose, stakeholders and management.

The study synthesized the literature and provided a conceptual framework of the factors that influence the design of PMSs in NPO and public administration. No individual paper collected in the SLR shows a similar organization of the factors as the present paper. The set of factors indicates the importance of this study for NPO and public administration, and how complex a PMS in an NPO and public administration can become. The conceptual model presented can further assist practitioners in developing design process observing the role that the identified factors play.

Building on the social identity theory perspectives, by analyzing multiple qualitative case study data of successful and award‐winning women small business owner‐managers, this study aims to find that, in the Sri Lankan context, social identities of women play an important role.

Social identities are understood to be individuals' popularity, reputation, worthiness, social recognition, competence, and power. Social identities act as self‐motivators for women to maintain excellence in quality standards, positive image, and venture into innovations. Women's social identities portrayed them as trustworthy entrepreneurs, while attracting new clients and building confidence within new clients early in the internationalization process of their small businesses.

This study concludes that the social identity of women entrepreneurs enabled them to break glass ceilings and emerge as competent entrepreneurs who can be successful in international markets. Therefore, favorable policies and an in‐depth research are needed to recognize and build women's social identities as entrepreneurs and provide supportive environment promoting internationalization of women's small businesses.

It is the author's belief that the findings will support developing a new research agenda to further explore a new dimension of social identity as an important constituent of future theories of internationalization of women‐owned SBs.

The objective of this paper is to assess and synthesize the published literature related to the application of data analytics, big data, data mining and machine learning to healthcare engineering systems.

A systematic literature review (SLR) was conducted to obtain the most relevant papers related to the research study from three different platforms: EBSCOhost, ProQuest and Scopus. The literature was assessed and synthesized, conducting analysis associated with the publications, authors and content.

From the SLR, 576 publications were identified and analyzed. The research area seems to show the characteristics of a growing field with new research areas evolving and applications being explored. In addition, the main authors and collaboration groups publishing in this research area were identified throughout a social network analysis. This could lead new and current authors to identify researchers with common interests on the field.

The use of the SLR methodology does not guarantee that all relevant publications related to the research are covered and analyzed. However, the authors' previous knowledge and the nature of the publications were used to select different platforms.

To the best of the authors' knowledge, this paper represents the most comprehensive literature-based study on the fields of data analytics, big data, data mining and machine learning applied to healthcare engineering systems.

The aim of this paper is to synthesize and assess the published literature relating to critical success factors for continuous improvement projects (CIPs).

A systematic literature review (SLR) was conducted to obtain the most relevant papers from four platforms: EBSCOhost, Engineering Village, ProQuest and Web of Science. The literature was assessed and synthesized based on analysis of characteristics relating to publications, authors and the content of publications.

From the SLR, 98 publications were identified and analyzed. One primary finding is that this research area appears to demonstrate characteristics of an emerging field, not yet well established across all relevant aspects. Second, a comprehensive set of 53 factors were extracted from the publications identified. These factors were analyzed according to frequency in the published literature. This set of factors can be used in future empirical research to develop a more complete understanding of the relative contribution of each to influencing CIP success.

The SLR methodology does not guarantee that all of the publications related to a given research area will be identified; however, the researchers took different actions to mitigate this limitation. Further, not all relevant information from the publication set could be included in this work because of space constraints.

To the authors’ knowledge, this paper presents the most comprehensive list of factors, and associated definitions, relevant to CIP success.

The purpose of this paper is to describe the current research on hospital continuous improvement projects (CIPs) from an author characteristics’ perspective. This work addresses the following questions: who are the predominant research authors in hospital CIPs? To what extent are the research communities collaborating in distinct research groups? How internationalized has hospital CIPs research become with respect to author location?

A systematic literature review was conducted, identifying 302 academic publications related to hospital CIPs. Publications were analyzed using: author, quantity, diversity, collaboration, and impact.

Hospital CIPs are increasingly attracting new scholars each year. Based on the authors’ analysis, authors publishing in this area can be described as a relatively new international community given the countries represented.

This paper describes the current hospital CIP research by assessing author characteristics. Future work should examine additional attributes to characterize maturity such as how new knowledge is being created and to what extent new knowledge is being disseminated to practitioners.

Lean Six Sigma (LSS) is a continuous improvement methodology used to increase the efficiency and effectiveness of processes. Although there are several articles published, only two have analyzed the literature from a bibliometrics perspective. The purpose of this paper is to analyze the LSS literature by bibliometrics, identifying its state of the art, scientific gaps and research trends.

Articles published up to 2016 in the database Scopus were investigated to identify the most significant articles, authors, journals, institutions and countries based on citation counting as well as the most frequent keywords and subject areas on LSS. Articles published in 2014, 2015 and 2016 were analyzed to point out scientific gaps and to identify eight main research trends on LSS.

The research trends are: “LSS implementation”, “Healthcare”, “LSS tools”, “Human factors”, “Expansion of results”, “SME”, “LSS combined with other methodologies” and “Education”. The research outcomes also point out the most significant articles, authors, journals, institutions and countries in LSS literature.

This research contributes to develop the state of the art of LSS and helps professionals as well as researchers to identify which issues new studies should address.

The performance of the literature is measured based on the number of citations and not on the number of published papers, and the bibliometric analysis covers the highest number of articles so far (319 articles). Besides, the identification of the main research trends on LSS is exclusively based on the most recent studies.