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Article

Suraj Kulkarni, Suhas Suresh Ambekar and Manoj Hudnurkar

Increasing health-care costs are a major concern, especially in the USA. The purpose of this paper is to predict the hospital charges of a patient before being admitted…

Abstract

Purpose

Increasing health-care costs are a major concern, especially in the USA. The purpose of this paper is to predict the hospital charges of a patient before being admitted. This will help a patient who is getting admitted: “electively” can plan his/her finance. Also, this can be used as a tool by payers (insurance companies) to better forecast the amount that a patient might claim.

Design/methodology/approach

This research method involves secondary data collected from New York state’s patient discharges of 2017. A stratified sampling technique is used to sample the data from the population, feature engineering is done on categorical variables. Different regression techniques are being used to predict the target value “total charges.”

Findings

Total cost varies linearly with the length of stay. Among all the machine learning algorithms considered, namely, random forest, stochastic gradient descent (SGD) regressor, K nearest neighbors regressor, extreme gradient boosting regressor and gradient boosting regressor, random forest regressor had the best accuracy with R2 value 0.7753. “Age group” was the most important predictor among all the features.

Practical implications

This model can be helpful for patients who want to compare the cost at different hospitals and can plan their finances accordingly in case of “elective” admission. Insurance companies can predict how much a patient with a particular medical condition might claim by getting admitted to the hospital.

Originality/value

Health care can be a costly affair if not planned properly. This research gives patients and insurance companies a better prediction of the total cost that they might incur.

Details

International Journal of Innovation Science, vol. 13 no. 1
Type: Research Article
ISSN: 1757-2223

Keywords

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Article

Surendra Sarnikar and Amit V. Deokar

This paper presents a design approach for process-based knowledge management (PKM) systems that can support knowledge-intensive processes where effective task execution is…

Abstract

Purpose

This paper presents a design approach for process-based knowledge management (PKM) systems that can support knowledge-intensive processes where effective task execution is highly reliant on the knowledge and expertise of participants executing the tasks. The proposed design approach includes design methods and kernel theories governing the design of PKM systems and can also be easily integrated with existing systems analysis and design techniques.

Design/methodology/approach

The design science research methodology is used to design and develop the artifact which includes the overall PKM design approach. Information systems design theory is used as a high-level framework to develop and structure the design approach. Relevant design methods and behavioral theories are reviewed to identify kernel theories that guide the design and development of PKM systems. The design approach consists of meta-requirements for PKM systems and design processes to achieve the meta-requirements. A feasibility study is conducted to evaluate the feasibility of the proposed approach.

Findings

The design approach presented in this paper can guide system analysts and system developers in the design of knowledge management systems for supporting knowledge-intensive processes. The paper also includes a comprehensive design theory for PKM systems consisting of meta-requirements and a synthesis of various kernel theories into actionable design procedures. The proposed procedures include knowledge requirements modeling, knowledge flows modeling and knowledge and process performance modeling procedures. The feasibility study indicates that the PKM approach can be more useful and effective than solely using unified modeling language (UML)-based systems analysis and design techniques for the design of PKM systems.

Research limitations/implications

An implication to information systems design research is the feasibility of developing a specialized design approach that incorporates significant domain knowledge to solve complex information system design problems. An implication to practice is the significant potential to improve productivity and effectiveness of systems analysts and designers in developing PKM systems. A limitation is the small sample size of the feasibility study used to evaluate the ease of use and utility of the design approach.

Originality/value

The study makes a unique contribution by proposing a design approach that integrates business process and knowledge management considerations. The approach is particularly valuable because of the focus on integration with existing systems analysis and design techniques, thus allowing for easier adoption.

Details

Journal of Knowledge Management, vol. 21 no. 4
Type: Research Article
ISSN: 1367-3270

Keywords

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Article

Massimiliano Matteo Pellegrini, Francesco Ciampi, Giacomo Marzi and Beatrice Orlando

Effectively handling knowledge is crucial for any organization to survive and prosper in the turbulent environments of the modern era. Leadership is a central element for…

Abstract

Purpose

Effectively handling knowledge is crucial for any organization to survive and prosper in the turbulent environments of the modern era. Leadership is a central element for knowledge creation, acquisition, utilization and integration processes. Based on these considerations, this study aims to offer an overview of the evolution of the literature regarding the knowledge management-leadership relationship published over the past 20 years.

Design/methodology/approach

A bibliometric analysis coupled with a systematic literature review were performed over a data set of 488 peer-reviewed articles published from 1990 to 2018.

Findings

The authors discovered the existence of four well-polarized clusters with the following thematic focusses: human and relational aspects, systematic and performance aspects, contextual and contingent aspects and cultural and learning aspects. The authors then investigated each thematic cluster by reviewing the most relevant contributions within them.

Research limitations/implications

Based on the bibliometric analysis and the systematic literature review, the authors developed an interpretative framework aimed at uncovering several promising and little explored research areas, thus suggesting an agenda for future knowledge management-leadership research. Some steps of the paper selection process may have been biased by the interpretation of the researcher. The authors addressed this concern by performing a multiple human subject reading process whose reliability was confirmed by a Krippendorf’s alpha coefficient value >0.80.

Originality/value

To the best knowledge, this is the first study to map, systematize and discuss the literature concerned to the topic of the knowledge management-leadership relationship.

Details

Journal of Knowledge Management, vol. 24 no. 6
Type: Research Article
ISSN: 1367-3270

Keywords

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Article

Kaveh Asiaei, Zabihollah Rezaee, Nick Bontis, Omid Barani and Noor Sharoja Sapiei

The pivotal role of knowledge management (KM) and its extensive implications have been debated in the academic literature with insufficient focus on its link to particular…

Abstract

Purpose

The pivotal role of knowledge management (KM) and its extensive implications have been debated in the academic literature with insufficient focus on its link to particular organizational control mechanisms such as performance measurement systems (PMS). To bridge this gap and building on resource orchestration theory, this paper aims to investigate the relationships between KM factors, PMS and corporate performance.

Design/methodology/approach

Based on a survey data set of 92 listed companies in Iran, the framework and hypotheses were tested using structural equation modeling (SEM) based on partial least squares (PLS).

Findings

The SEM-PLS results indicate that knowledge assets are significantly associated with both PMS and corporate performance while knowledge process capabilities (KPC) are not significantly associated with PMS and corporate performance. This study also shows that PMS mediates the relationship between knowledge assets and corporate performance.

Practical implications

The results suggest that the use of appropriate management control systems plays an effective role in synchronizing, aligning and orchestrating a company’s various knowledge resources, which, in turn, can lead to superior overall performance.

Originality/value

Building on a unique synthesis of resource orchestration theory and the knowledge-based view of the firm, the results of this study provide the first empirical evidence on how PMS intervenes in the relationship between knowledge resources (knowledge assets and KPC) and corporate performance.

Details

Journal of Knowledge Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1367-3270

Keywords

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Article

Kaveh Asiaei and Nick Bontis

This paper aims to tie together insights from the body of research on knowledge management (KM) and management accounting control systems to propose a conceptual model in…

Abstract

Purpose

This paper aims to tie together insights from the body of research on knowledge management (KM) and management accounting control systems to propose a conceptual model in which performance measurement systems (PMS) can play a role in translating knowledge resources into enhanced performance.

Design/methodology/approach

The underlying assumption of the “fit-as-mediation” approach signifies that knowledge features can play a role in the determination of the structure and implementation of particular managerial processes and this, in turn, may support information processing and lead to desirable results within organizations.

Findings

Synthesizing theory from performance measurement and the knowledge-based view of the firm, the paper’s analysis and discussions elucidate how the implementation of an overarching PMS, i.e. diversity of measurement, could translate the knowledge-related factors, i.e. knowledge resources and knowledge process capabilities, into enhanced performance. In particular, the proposed model shows that a comprehensive PMS plays an intervening role between KM and organizational performance.

Research limitations/implications

The proposed model may inspire a new research agenda to show how knowledge initiatives are managed and measured in organizations and how they are properly aligned with specific managerial processes to deliver real value.

Practical implications

Drawing upon the conceptualized associations among KM, PMS and organizational performance, this paper recommends some practical guidelines by highlighting the importance of PMS whereby organizations may reap maximum benefit from their KM initiatives.

Originality/value

This paper sheds new light on the links between KM and organizational performance, and it appears to be the first study to propose an intervening effect of PMS between KM and organizational performance.

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