An evaluation of empirical research in managerial support systems

Benbasat, Izak; Nault, Barrie R.

doi:10.1016/0167-9236(90)90015-j

Cited by 178 publications

(77 citation statements)

References 43 publications

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“…Sean Eom's series of analyses have used bibliometric approaches, including co-citation analysis, to analyse the intellectual structure of the field (Eom, 1995;Eom and Lee, 1990;. Other reviews have examined the content of articles but have concentrated on one aspect of the field; for example, Benbasat and Nault (1990) only examined empirical research, while Pervan (1998) only analysed group support systems. The literature analysis documented in this paper included all sub-groupings, or types, of DSS.…”

Section: Literature Analysis Methods and Designmentioning

confidence: 99%

“…The start of this analysis period is marked by two much cited reviews: Eom and Lee (1990) and Benbasat and Nault (1990).…”

Section: Time Framementioning

confidence: 99%

“…A third review paper focusing on DSS implementation, Alavi and Joachimsthaler (1992), provides a further anchor for the 1990 starting date of our analysis, as does the TIMS/ORSA and National Science Foundation sponsored discipline assessment (Stohr and Konsynski, 1992). Previous analyses of information systems research have used a similar sampling approach (Benbasat and Nault, 1990;Alavi and Carlson, 1992;Pervan, 1998). Alavi and Carlson (1992) used eight North…”

Section: Time Framementioning

confidence: 99%

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A Critical Analysis of Decision Support Systems Research

Arnott

Pervan

2005

Journal of Information Technology

379

122

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This paper critically analyses the nature and state of decision support systems (DSS) research. To provide context for the analysis, a history of DSS is presented which focuses on the evolution of a number of sub-groupings of research and practice: personal decision support systems, group support systems, negotiation support systems, intelligent decision support systems, knowledge managementbased DSS, executive information systems/business intelligence, and data warehousing. To understand the state of DSS research an empirical investigation of published DSS research is presented. This investigation is based on the detailed analysis of 1,020 DSS articles published in 14 major journals from 1990 to 2003. The analysis found that DSS publication has been falling steadily since its peak in 1994 and the current publication rate is at early 1990s levels. Other findings include that personal DSS and group support systems dominate research activity and data warehousing is the least published type of DSS. The journal DSS is the major publishing outlet; US 'Other' journals dominate DSS publishing and there is very low exposure of DSS in European journals. Around two-thirds of DSS research is empirical, a much higher proportion than general IS research. DSS empirical research is

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Section: Literature Analysis Methods and Designmentioning

confidence: 99%

“…The start of this analysis period is marked by two much cited reviews: Eom and Lee (1990) and Benbasat and Nault (1990).…”

Section: Time Framementioning

confidence: 99%

Section: Time Framementioning

confidence: 99%

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A Critical Analysis of Decision Support Systems Research

Arnott

Pervan

2005

Journal of Information Technology

379

122

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“…In fact, there is empirical evidence that the use of decision aids does not necessarily enhance decision making performance (cf. Benbasat and Nault 1990), and that the latter may even be reduced as a result (Todd and Benbasat 1992, p. 373). Given this mixed evidence, it cannot be assumed that a consumer's use of interactive decision aids in an online shopping context will lead to increased decision quality.…”

Section: Human Decision Making and Decision Aidsmentioning

confidence: 99%

Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids

2000

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Despite the explosive growth of electronic commerce and the rapidly increasing number of consumers who use interactive media (such as the World Wide Web) for both pre-purchase information search and online shopping, very little is known about how consumers make purchase decisions in such settings. A unique characteristic of online shopping environments is that they allow vendors to create retail interfaces that include highly interactive features. One form of interactivity that is desirable from a consumer perspective is the implementation of sophisticated tools designed to assist shoppers in making their purchase decisions by customizing the electronic shopping environment to their individual preferences. The availability of such tools, which we refer to as interactive decision aids for consumers, may lead to a transformation of the way in which shoppers search for product information and make purchase decisions. The primary objective of this paper is to investigate the nature of the effects that interactive decision aids may have on consumer decision making in online shopping environments.A well-known phenomenon regarding purchase decision making is that consumers are often unable to evaluate all available alternatives in great depth and, thus, tend to use two-stage processes to reach their decisions. A typical purchase decision process may unfold as follows: First, the consumer screens a large set of relevant products and identifies a subset that includes the most promising alternatives. Subsequently, s/he evaluates the latter in more depth, performs relative comparisons across products on important attributes, and makes a purchase decision. Given the different tasks to be performed in the course of such a two-stage process, interactive tools that provide support to consumers in the following two respects are particularly valuable: (1) the initial screening of available products to determine which ones are worth considering further and (2) the indepth comparison of selected products before making the actual purchase decision. This paper examines the effects of two decision aids, each designed to assist consumers in performing one of the above tasks, on purchase decision making in an online store.The first of the two interactive tools, a recommendation agent (RA), allows consumers to more efficiently screen the (potentially very large) set of alternatives available in an online shopping environment. Based on self-explicated information about a consumer's own utility function (attribute importance weights and minimum-acceptable attribute levels), the RA generates a personalized list of recommended alternatives. The second decision aid, a comparison matrix (CM), is designed to assist consumers in making in-depth comparisons among those alternatives that appear most promising based on the initial screening. The CM allows consumers to organize attribute information about multiple products in an alternatives × attributes matrix and to have alternatives sorted by any attribute.Based on theoretical and empiri...

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“…As it is humanly not possible to envision all possible exceptions, there is a need to introduce procedures whereby the user is given the decision making support and flexibility to deviate from a policy when absolutely needed. While many decision support systems have been suggested for CSCW systems (Chau 2003, Benbasat 1990,Shum 2011, this paper aims to introduce a method which allows greater flexibility to CSCW systems by assisting in the decision making process of deviating from policies, making sure that the deviations take place in a controlled manner when such exceptions arise. In order to address the problem, the study proposes a methodology called PoDMan (Policy deviation management) which uses software agents to detect policy violations and if required, assist users in the decision making process of deviating from the policy in a controlled manner.…”

Section: Introductionmentioning

confidence: 99%

PoDMan: Policy Deviation Management

Bakshi

Talaei-Khoei

Ray

et al. 2017

AJIS

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Whenever an unexpected or exceptional situation occurs, complying with the existing policies may not be possible. The main objective of this work is to assist individuals and organizations to decide in the process of deviating from policies and performing a non-complying action. The paper proposes utilizing software agents as supportive tools to provide the best non-complying action while deviating from policies. The article also introduces a process in which the decision on the choice of non-complying action can be made. The work is motivated by a real scenario observed in a hospital in Norway and demonstrated through the same settings.

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An evaluation of empirical research in managerial support systems

Cited by 178 publications

References 43 publications

A Critical Analysis of Decision Support Systems Research

A Critical Analysis of Decision Support Systems Research

Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids

PoDMan: Policy Deviation Management

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