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Article
Publication date: 1 February 1993

Erwin M. Saniga

Examines some principles of the design and implementation of decision support systems in the context of statistical quality control. These principles are a function both…

Abstract

Examines some principles of the design and implementation of decision support systems in the context of statistical quality control. These principles are a function both of the level within the organization at which the decision is made and of the type of decision that is made. The principles are well known in the field of decision support systems and have proved effective. Argues that these principles are of great value to researchers, managers and quality specialists in the field of statistical quality control as well. The argument is supported by a number of actual examples in the application of statistical quality control where knowledge of the principles proved of value in improving quality.

Details

International Journal of Quality & Reliability Management, vol. 10 no. 2
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 1 January 1985

B.G. Dale and A.J. Duncalf

Without a formulated quality management policy and a direct lead from the chief executive, companies are unlikely to be able to effectively co‐ordinate quality‐related…

Abstract

Without a formulated quality management policy and a direct lead from the chief executive, companies are unlikely to be able to effectively co‐ordinate quality‐related decision making; consequently, the approach to quality tends to be inspection orientated. Results of a study on how quality‐related decisions are made in six companies also suggests that the involvement of quality staff in design, purchasing and market feedback is vital, ensuring that quality‐related decision making is effective and consistent with policy.

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International Journal of Operations & Production Management, vol. 5 no. 1
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 13 September 2021

Moses Munyami Kinatta, Twaha Kigongo Kaawaase, John C. Munene, Isaac Nkote and Stephen Korutaro Nkundabanyanga

This study examines the relationship between investor cognitive bias, investor intuitive attributes and investment decision quality in commercial real estate in Uganda.

Abstract

Purpose

This study examines the relationship between investor cognitive bias, investor intuitive attributes and investment decision quality in commercial real estate in Uganda.

Design/methodology/approach

A cross-sectional research survey was used in this study, and data were collected from 200 investors of commercial real estate in Uganda using a structured questionnaire. Hierarchical regression analysis was used to test the hypotheses derived under this study.

Findings

The results indicate that investor cognitive bias and investor intuitive attributes are positive and significant determinants of investment decision quality in commercial real estate. In addition, the two components of Investor cognitive bias (framing variation and cognitive heuristics) are positive and significant determinants of investment decision quality, whereas mental accounting is a negative and significant determinant of investment decision quality. For investor intuitive attributes, confidence degree and loss aversion are positive and significant determinants of investment decision quality, whereas herding behavior is a negative and significant determinant of investment decision quality in commercial real estate in Uganda.

Practical implications

For practitioners in commercial real estate sector should emphasize independent evaluation of investment opportunities (framing variation), simplify information regarding investments (Cognitive heuristics), believe in own abilities (Confidence degree), be risk averse (loss aversion) and avoid making decisions based on subjective visual mind (mental accounting) and group think/herding in order to make quality investment decisions. For policymakers, the study has illuminated factors such as provision of reliable information that ought to be taken into account when promulgating policies for regulation of the commercial real estate sector. This will help investors to come up with investment decisions which are plausible.

Originality/value

Few studies have focused on investor cognitive bias and investor intuitive attributes on investment decision quality in commercial real estate. This study is the first to examine the relationship, especially in the commercial real estate sector in a developing country like Uganda.

Details

Journal of Property Investment & Finance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-578X

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Article
Publication date: 6 August 2020

Qasim Ali Nisar, Nadia Nasir, Samia Jamshed, Shumaila Naz, Mubashar Ali and Shahzad Ali

This study is undertaken to examine the antecedents and role of big data decision-making capabilities toward decision-making quality and environmental performance among…

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1151

Abstract

Purpose

This study is undertaken to examine the antecedents and role of big data decision-making capabilities toward decision-making quality and environmental performance among the Chinese public and private hospitals. It also examined the moderating effect of big data governance that was almost ignored in previous studies.

Design/methodology/approach

The target population consisted of managerial employees (IT experts and executives) in hospitals. Data collected using a survey questionnaire from 752 respondents (374 respondents from public hospitals and 378 respondents from private hospitals) was subjected to PLS-SEM for analysis.

Findings

Findings revealed that data management challenges (leadership focus, talent management, technology and organizational culture for big data) are significant antecedents for big data decision-making capabilities in both public and private hospitals. Moreover, it was also found that big data decision-making capabilities played a key role to improve the decision-making quality (effectiveness and efficiency), which positively contribute toward environmental performance in public and private hospitals of China. Public hospitals are playing greater attention to big data management for the sake of quality decision-making and environmental performance than private hospitals.

Practical implications

This study provides guidelines required by hospitals to strengthen their big data capabilities to improve decision-making quality and environmental performance.

Originality/value

The proposed model provides an insight look at the dynamic capabilities theory in the domain of big data management to tackle the environmental issues in hospitals. The current study is the novel addition in the literature, and it identifies that big data capabilities are envisioned to be a game-changer player in effective decision-making and to improve the environmental performance in health sector.

Details

Journal of Enterprise Information Management, vol. 34 no. 4
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 1 May 1988

A.J. Duncalf and B.G. Dale

In every manufacturing company, irrespective of size, product and other variables, management are constantly involved in quality‐related decisions which have a direct…

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323

Abstract

In every manufacturing company, irrespective of size, product and other variables, management are constantly involved in quality‐related decisions which have a direct effect on product quality. An analytical method is described for assessing an organisation's approach to quality management. On application, managers are provided with information on the reality of their quality assurance activities. An overview of some of the issues involved in decision making is provided, followed by an outline of the research methodology, and, finally, the “method” is presented with some results arising from its application.

Details

International Journal of Operations & Production Management, vol. 8 no. 5
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 30 October 2009

Nik Maheran Nik Muhammad, Muhamad Jantan, Fauziah and Taib

Previous studies on scanning behavior have focused mainly on decisions relating to the choice of corporate strategies, leaving strategic investment decisions largely…

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1447

Abstract

Purpose

Previous studies on scanning behavior have focused mainly on decisions relating to the choice of corporate strategies, leaving strategic investment decisions largely understudied. This paper aims to bridge the gap not just by examining strategic investment decisions but also by investigating the role of information processing capacity in enhancing the relationship between the extent of scanning behavior and the quality of the investment decision.

Design/methodology/approach

Cross‐sectional data are collected through a survey and analyzed by means of factor analysis and hierarchical regression analysis.

Findings

Quality of decision is positively and significantly related to the extent of economic and competition information and the formality of method used to scan competition information. However, the extent of scanning for technology is contingent upon information processing capacity in order to affect the quality of the investment decision. Similarly, the method of scanning for economy, technology and competition information would depend on the information processing capacity to bring about a quality decision.

Research limitations/implications

Use of convenience sampling may restrict the generalizability of the findings.

Practical implications

As more economy and competition data are scanned, this would improve the quality of decision making, but for technology scanning the data have to be processed further before they can bring about changes in decision quality. For technology‐related matters, firms should be investing in the information processing capacity to produce quality decisions.

Originality/value

This study uses the decision as its unit of analysis to avoid having to average out the effects of making good and bad decisions often associated with a decision maker.

Details

Management Research News, vol. 32 no. 12
Type: Research Article
ISSN: 0140-9174

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Article
Publication date: 11 September 2017

Satish Sasalu Maheswarappa, Bharadhwaj Sivakumaran and Arun G. Kumar

The purpose of this paper is to investigate returns to search (getting a better product and/or a lower price as a result of search) when consumers use/do not use…

Abstract

Purpose

The purpose of this paper is to investigate returns to search (getting a better product and/or a lower price as a result of search) when consumers use/do not use recommendation agents (RAs). Specifically, it studies the effect of RAs/no RAs on decision quality, decision confidence and decision satisfaction taking into account subjective knowledge (SK) and involvement.

Design/methodology/approach

This paper employed two between-subjects factorial experimental designs with subjects searching for digital cameras in a simulated online digital camera store. The experiment was conducted with graduate students in Chennai, Bengaluru and Mysore in India.

Findings

Results of two online experiments showed that when consumers used RAs, low search led to better decision quality, whereas when consumers did not use RAs, medium search led to optimum decision quality. When consumers use RAs, SK had a U-shaped influence on the decision quality indicating that decision quality was the lowest for those with medium SK. When consumers did not use RAs, the effect of SK on decision quality was an inverted U-shape, indicating optimum decision quality for medium SK consumers. When consumers did not use RAs, subjects with high involvement made better choices, whereas when consumers used RAs, low involvement subjects made better choices. However, subjects who searched more had higher decision confidence and decision satisfaction even if their choices were not better.

Originality/value

The effect of RA vs no RA in conjunction with relevant consumer characteristics influencing decision quality of the consumer is demonstrated in this study. The findings have important managerial, consumer and theoretical contributions to make.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 29 no. 4
Type: Research Article
ISSN: 1355-5855

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Book part
Publication date: 1 August 2019

Nikolai G. Sinyavsky

The issues of development of decisions are very important during formation of the system of management of modern business systems in the conditions of turbulence of…

Abstract

The issues of development of decisions are very important during formation of the system of management of modern business systems in the conditions of turbulence of external conditions. The ideas of rational structuring of information flows, which are used for decision making, are related to the necessity for development of communicative culture of companies. Quality of interaction between persons that participate in decision making should be assessed by analyzing the ratio of probabilities that characterize quality of information and correctness of decisions and development of a special model.

Details

Specifics of Decision Making in Modern Business Systems
Type: Book
ISBN: 978-1-78756-692-7

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Book part
Publication date: 7 October 2015

Azizah Ahmad

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive…

Abstract

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

Details

Sustaining Competitive Advantage Via Business Intelligence, Knowledge Management, and System Dynamics
Type: Book
ISBN: 978-1-78441-764-2

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Article
Publication date: 25 October 2011

S.I. Lao, K.L. Choy, G.T.S. Ho, Y.C. Tsim and C.K.H. Lee

With the increasing concerns about food management, attention is placed on the monitoring of different potential risk factors for food handling. Therefore, the purpose of…

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2087

Abstract

Purpose

With the increasing concerns about food management, attention is placed on the monitoring of different potential risk factors for food handling. Therefore, the purpose of this paper is to propose a system that helps facilitate and improve the quality of decision making, reduces the level of substandard goods, and facilitates data capturing and manipulation, to help a warehouses improve quality assurance in the inventory‐receiving process with the support of technology.

Design/methodology/approach

This system consists of three modules, which integrate the radio frequency identification (RFID) technology, case‐based reasoning (CBR), and fuzzy reasoning (FR) technique to help monitor food quality assurance activities. In the first module, the data collection module, raw warehouse and work station information are collected. In the second module, the data sorting module, the collected data are stored in a database. In this module, data are decoded, and the coding stored in the RFID tags are transformed into meaningful information. The last module is the decision‐making module, through which the operation guidelines and optimal storage conditions are determined.

Findings

To validate the feasibility of the proposed system, a case study was conducted in food manufacturing companies. A pilot run of the system revealed that the performance of the receiving operation assignment and food quality assurance activities improved significantly.

Originality/value

In summary, the major contribution of this paper is to develop an effective infrastructure for managing food‐receiving process and facilitating decision making in quality assurance. Integrating CBR and FR techniques to improve the quality of decision making on food inventories is an emerging idea. The system development roadmap demonstrates the way to future research opportunities for managing food inventories in the receiving operations and implementing artificial intelligent techniques in the logistics industry.

Details

Journal of Manufacturing Technology Management, vol. 22 no. 8
Type: Research Article
ISSN: 1741-038X

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