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Article
Publication date: 1 September 2002

Marianne Marcus and Linda Stafford

Substance use disorders are considered to be the nation's number one health problem. These continue to cause more deaths, illnesses, and disabilities than do other preventable…

89

Abstract

Substance use disorders are considered to be the nation's number one health problem. These continue to cause more deaths, illnesses, and disabilities than do other preventable health problems, providing ample support for the need for developing health professional competence in this area. This paper describes the specific steps used by The University of Texas‐Houston Health Science Center School of Nursing to infuse substance abuse content into the undergraduate curriculum, design a graduate subspecialty in addictions nursing, and offer continuing education on substance use disorders to nurses in acute care and community settings. The paper provides guidelines for other academic institutions engaged in the important task of increasing nursing competence related to substance use disorders.

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Drugs and Alcohol Today, vol. 2 no. 3
Type: Research Article
ISSN: 1745-9265

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Available. Open Access. Open Access
Article
Publication date: 24 January 2025

Per Erik Andersson, Katarina Arbin and Christopher Rosenqvist

The main purpose of this study is to enhance knowledge regarding the early stages of planning for and adopting artificial intelligence (AI) in governmental public procurement…

203

Abstract

Purpose

The main purpose of this study is to enhance knowledge regarding the early stages of planning for and adopting artificial intelligence (AI) in governmental public procurement. While there are numerous studies on AI and procurement in private companies, there is limited information on AI and public procurement.

Design/methodology/approach

The empirical data consists of information obtained from 18 semi-structured interviews with procurement managers and individuals involved in the development of procurement at governmental agencies. Additionally, a workshop was conducted with the respondents to discuss and validate the study’s findings.

Findings

Findings indicate a generally low level of AI maturity in previous research and within the investigated governmental agencies. The perceived benefits of AI primarily revolve around improved operational capabilities, potential for certain process efficiencies and the ability to enhance monitoring through AI. Various challenges related to organizational, process, technological and data management were highlighted. Findings also indicate that perceived benefits and value created by AI can be viewed from a short-term perspective to a long-term perspective.

Social implications

The study provides insights into societal values that can be achieved using AI in public procurement.

Originality/value

This study provides a new perspective on AI in public procurement by focusing on governmental agencies. It explores the perceived benefits, interests and challenges associated with AI implementation in public procurement. Furthermore, this study discusses the potential outcomes of incorporating AI in public procurement and the impact it may have on the values created by the public service, both short- and long term.

Details

Journal of Public Procurement, vol. 25 no. 1
Type: Research Article
ISSN: 1535-0118

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Abstract

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Drugs and Alcohol Today, vol. 3 no. 4
Type: Research Article
ISSN: 1745-9265

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Book part
Publication date: 8 September 2022

Magnus Henrekson and Mikael Stenkula

William J. Baumol was one of the most prolific economists of his generation, analyzing a broad range of central economic issues addressing real problems of the world. In this…

Abstract

William J. Baumol was one of the most prolific economists of his generation, analyzing a broad range of central economic issues addressing real problems of the world. In this essay, we present and critically evaluate Baumol’s research contributions in entrepreneurship economics and point to areas for future research. Baumol contributed an impressive number of important insights, increasing our understanding of entrepreneurship from both a macro and a micro perspective. He also devoted a large part of his writings to discussing public policy, linking his theoretical insights with policy issues in practice. His analyses are rooted in contemporary mainstream neoclassical economics, and one of his main objectives was to integrate the entrepreneur into this tradition. Today, Baumol is best known for his tripartite distinction between productive, unproductive, and destructive entrepreneurship and his associated idea that the institutional framework, “the rules of the game,” will determine how entrepreneurs allocate their time and effort across different – productive or unproductive – activities. An institutional environment that encourages productive entrepreneurship and spontaneous experimentation while disincentivizing unproductive activities becomes, through this insightful lens, the driving force of economic growth. As an economist, Baumol was knowledgeable and well acquainted with earlier scholars and their writings about entrepreneurship. Baumol’s writings were greatly inspired by Joseph Schumpeter’s views on entrepreneurship, and he made several attempts to formalize Schumpeter’s concept of the innovative entrepreneur. Baumol was in all senses an innovative contributor to entrepreneurship economics. His work has inspired the research community of entrepreneurship scholars, but like all great scientists, he also encountered criticism. His effort to integrate entrepreneurship into the mainstream theory of the firm was only partly successful.

Details

Research in the History of Economic Thought and Methodology: Including a Symposium on the Work of William J. Baumol: Heterodox Inspirations and Neoclassical Models
Type: Book
ISBN: 978-1-80382-708-7

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Case study
Publication date: 1 December 2006

Gina Vega, Barry Armandi and Thomas Leach

This is the third in a series of articles about case research, writing, teaching, and reviewing. In this article, the protagonist, Prof. Moore, receives mixed reviews on his case…

Abstract

This is the third in a series of articles about case research, writing, teaching, and reviewing. In this article, the protagonist, Prof. Moore, receives mixed reviews on his case submission and learns how to respond to them in a positive way. The article is written as if it were a case; it is fictitious.

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The CASE Journal, vol. 3 no. 1
Type: Case Study
ISSN: 1544-9106

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Article
Publication date: 22 January 2020

Desheng Dash Wu

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Abstract

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Industrial Management & Data Systems, vol. 120 no. 2
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 9 May 2020

Amirhossein Karamoozian and Desheng Wu

Construction projects involve with various risks during all phases of project lifecycle. Failure mode and effective analysis (FMEA) is a useful tool for identifying and…

690

Abstract

Purpose

Construction projects involve with various risks during all phases of project lifecycle. Failure mode and effective analysis (FMEA) is a useful tool for identifying and eliminating possible risk of failure modes (FMs) and improving the reliability and safety of systems in a broad range of industries. The traditional FMEA method applies risk priority number method (RPN) to calculate risk of FMs. RPN method cannot consider the direct and indirect interdependencies between the FMs and is not appropriate for complex system with numerous components. The purpose of this study is to propose an approach to consider interdependencies between FMs and also using fuzzy theory to consider uncertainties in experts' judgments.

Design/methodology/approach

The proposed approach consist of three stages: the first stage of hybrid model used fuzzy FMEA method to identify the failure mode risks and derive the RPN values. The second stage applied Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL) method to determine the interdependencies between the FMs which are defined through fuzzy FMEA. Then, analytic network process (ANP) is applied in the third stage to calculate the weights of FMs based on the interdependencies that are generated through FDEMATEL method. Finally, weight of FMs through fuzzy FMEA and FDEMATEL–ANP are multiplied to generate the final weights for prioritization. Afterward, a case study for a commercial building project is introduced to illustrate proficiency of model.

Findings

The results showed that the suggested approach could reveal the important FMs and specify the interdependencies between them successfully. Overall, the suggested model can be considered as an efficient hybrid FMEA approach for risk prioritization.

Originality/value

The originality of approach comes from its ability to consider interdependencies between FMs and uncertainties of experts' judgments.

Details

Engineering, Construction and Architectural Management, vol. 27 no. 9
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 20 November 2017

Jane Elisabeth Frisk and Frank Bannister

Evolving digital technologies continue to enable new ways to collect and analyze data and this has led some researchers to claim that skillful use of data analytics and big data…

6216

Abstract

Purpose

Evolving digital technologies continue to enable new ways to collect and analyze data and this has led some researchers to claim that skillful use of data analytics and big data can radically improve a company’s performance, but that in order to achieve such improvements managers need to change their decision-making culture and to increase the degree of collaboration in the decision-making process. The purpose of this paper is to create an increased understanding of how a decision-making culture can be changed by using a design approach.

Design/methodology/approach

The paper presents an action research project in which the authors use a design approach.

Findings

By adopting a design approach organizations can change their decision-making culture, increase the degree of collaboration and also reduce the influence of power and politics on their decision-making.

Research limitations/implications

This paper proposes a new approach to changing a decision-making culture.

Practical implications

Using data analytics and big data, a design approach can support organizations change their decision-making culture resulting in better and more effective decisions.

Originality/value

This paper bridges design and decision-making theory in a novel approach to an old problem.

Details

Management Decision, vol. 55 no. 10
Type: Research Article
ISSN: 0025-1747

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Article
Publication date: 24 February 2020

Yuan Cao, Desheng Wu and Lei Li

Non-financial corporate debt is one of the important sources of systematic risk in the real economy. Assessing a measure of systematic risk in corporation debt is currently a key…

481

Abstract

Purpose

Non-financial corporate debt is one of the important sources of systematic risk in the real economy. Assessing a measure of systematic risk in corporation debt is currently a key challenge. In this regard, we propose a two-tier risk contagion networks model.

Design/methodology/approach

Assessing a measure of systematic risk in corporation debt is currently a key challenge. In this regard, we propose a two-tier risk contagion networks model based on four dimensions: concept definition, data structure, risk contagion network construction, and risk measurement indicators construction. We take the Jiangsu bond issuer guarantee network as a sample area.

Findings

Taking the Jiangsu bond issuer guarantee network as a sample area, we find that there is a strong correlation between the debts of non-financial corporation in China, and it is easy to become a potential regional systematic risk source. In addition, our empirical research also reveals that external risk exposure and node degree of network are two key indicators when identifying key risk-contagion enterprises.

Originality/value

The main contributions of this study are two-fold. First, this article proposes a two-tier risk contagion networks model to measure systematic risk in non-financial corporation. Second, this article describes the structure of the corporate risk contagion network.

Details

Industrial Management & Data Systems, vol. 120 no. 7
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 11 June 2018

Zoran Slavnic and Susanne Urban

The purpose of this paper is to study the interplay between changes in policies, rules and regulations that have altered ethnic composition and incomes in the Swedish taxi…

301

Abstract

Purpose

The purpose of this paper is to study the interplay between changes in policies, rules and regulations that have altered ethnic composition and incomes in the Swedish taxi industry since deregulation in the 1990s.

Design/methodology/approach

This is a mixed-methods study, combining the qualitative interviews, scrutiny of relevant policy documents and statistical data of the Swedish population between 1992 and 2012. The analysis uses a mixed embeddedness perspective to show how the changed regulations resulted in new openings/closings in opportunities for individuals operating in the sector and how the proportion of immigrants in the sector, increased continuously between 1992 and 2012.

Findings

Policy changes have altered ethnic composition and incomes in the Swedish taxi sector. Income differences between foreign born and Swedish born are decreasing. It occurs however in the context of a general trend of lower wages within the sector. New jobs are created, but these are low paid jobs with harsh working conditions.

Originality/value

What makes this paper original is the use of the mixed-method approach, combining the analyses of economic and ethnic changes in the sector with internal and external institutional changes in rules and regulations, which exemplify the essence of the mixed embeddedness concept. Additionally the quantitative part of the study uses register data - tax registers and population registers that includes entire population and is administered by Statistics Sweden in a database for REMESO.

Details

International Journal of Sociology and Social Policy, vol. 38 no. 5-6
Type: Research Article
ISSN: 0144-333X

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