Combining Decision Making Trial and Evaluation Laboratory with Analytic Network Process to Perform an Investigation of Information Technology Auditing and Risk Control in an Enterprise Resource Planning Environment

Tsai, Wen Hsien; Chou, Yu Wei; Lee, Kuen Chang; Lin, Wan Rung; Hwang, Elliott T.Y.

doi:10.1002/sres.2129

Cited by 17 publications

(6 citation statements)

References 54 publications

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“…Between 1972 and 1976, Fontela and Gabus have developed the DEMATEL approach for structuring and solving multi-criteria problems in a multi-personal context [48,49]. DEMATEL can represent an algebraic method of analysis, which aggregates the collected individual implicit knowledge to identify and quantify the causal interdependencies between the detected SFs [50].…”

Section: Intersubjective Mappingmentioning

confidence: 99%

Performance Management by Causal Mapping: An Application Field of Knowledge Management

Kölbel¹,

Ossadnik²,

Gergeleit³

2017

Knowledge Management Strategies and Applications

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As implied by the performance management (PM) concept, modern corporate management has to focus on cause-and-effect relationships underlying a firm´s financial performance generation. To determine the causes of financially desirable effects, subject-bound experiences and knowledge of employees, called tacit knowledge, should be realised. For this, knowledge management (KM) offers various elicitation techniques to reveal corporate-specific success factors (SFs) of financial performance generation from the corporate experts´implicit knowledge. The identified factors have to be organised within a network of cause-and-effect relationships. In this framework, PM can apply the instrument of mapping to structure the individually revealed knowledge, to aggregate and visualise it for the entire company. For a valid representation of the causal relationships, the subjective bias arising within the mentioned process has to be minimised. In the literature, a variety of mapping methods can be found that differ in their approaches and their level of significance. As such a method, causal mapping will be presented in this paper. For providing intersubjectivity, the decision-making trail and evaluation laboratory (DEMATEL) as a multi-criteria approach will be debated in the context of mapping as a research field.

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Section: Intersubjective Mappingmentioning

confidence: 99%

Performance Management by Causal Mapping: An Application Field of Knowledge Management

Kölbel¹,

Ossadnik²,

Gergeleit³

2017

Knowledge Management Strategies and Applications

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“…Moreover the Importance-Performance & Gap Analysis (IPGA) can narrow down the service quality gaps. In addition to this study, to evaluate and resolve the complicated and intertwined problem group Decisionmaking trial and evaluation laboratory (DEMATEL) is been used (Wu et al, 2010;Shieh et al, 2010), this approach is widely been used to find the key success factors in the industries like airline industry, emergency management, web-advertising, auditing and risk control , enterprise resource planning environment, , hospital service quality management (Liou et al, 2007;Tzeng et al, 2007;Shieh et al, 2010;Wu et al, 2010;Tsai and Hsu, 2010;Wei et al, 2010;Chang and Cheng, 2011;Wu and Tsai, 2011;Zhou et al, 2011;Lin et al, 2012; ISSN 2414-8393 Tsai et al, 2013), this also caters to the performance evaluation of employees, and gauges the risks of failures.…”

Section: Decision-making Model Of Ipa Ipga and Dematel Analysismentioning

confidence: 99%

The Moderating Role of Social Class: Effect of Brand Service Scapes on Loyalty

Butt

2016

IBTJBS

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Purpose: In this study, the impact of Services cape on Loyalty has been studied in the presence of Social Class as a moderating variable. Methodology: The probability based systematic random sampling technique is used to collect the data through a self-administered survey to test the gained hypothesis from 308 respondents living in upper, middle and lower classes. A structured questionnaire was approved of actual information from the respondents to support the collection gained. The conceptual development of costumer’s loyalty measurement scale proposed by McMullan (2005) was adopted for analyzing the loyalty and for computing the services cape of the restaurant the instrument proposed by Hightower (2010) was acquired. SPSS and AMOS were being used to check the questionnaire. The instruments' reliability was checked by using confirmatory factor analysis (CFA) and composite reliability test. SEM (structural equation modelling) through AMOS was used to examine the data. Moderation and moderation steps were analyzed by using orthogonalization and 5000 bootstrapping samples, SPSS MACRO developed by preacher & Hays to check the moderation. Findings: Ambient = 0.71, social = 0.75, design = 0.72 and customer loyalty 0.70 is the outcome of CFA. The positive relation of the loyalty of restaurant with ambiance, social dimension and design dimension of services cape was tested as the first three hypotheses using linear regression. Moreover, the analyzed result of hypothesis 4, 5 and 6 indicated the outcome that social class effects while picking the restaurant. Originality/ Value: By this research, the buying and spending pattern of consumers in Pakistan and the factors that influence the repeat selection of the restaurant in the presence of their social class of the target market has been brought into attention.

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“…The integration of more than one technique to solve a problem is a recent trend, because it may not always be possible to address all of the problems by using a single technology (Zahedi, 1993;Goonatilake and Khebbal, 1995;Tan et al, 1996;Banville et al, 1998;Xu et al, 1998;Čančer and Mulej, 2010;Tsai et al, 2013). Furthermore, the selection of CSFs is an MCDM issue.…”

Section: Introductionmentioning

confidence: 99%

Combining Multicriteria Decision‐Making Tools to Identify Critical Success Factors that Affect the Performance of Training Course Projects

Chang

Kao

et al. 2013

Syst. Res.

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This paper combines two multicriteria decision‐making (MCDM) tools to identify the critical success factors (CSFs) that impact the performance of personnel training course projects in the semiconductor industry in Taiwan. The study collected the factors that influence performance by interviewing experts and constructed a hierarchical factor table. The fuzzy analytic hierarchy process was used to determine the weight of each factor, and the acceptance advantage concept of VlseKriterijumska Optimizacija I Kompromisno Resenje was used to objectively identify the CSFs. The study found four CSFs that affect project performance and proposed five practical implications. This paper verified that combining two MCDM tools can help training institutions to allocate their resources appropriately by focusing on the CSFs, identified by their weights, and thus, promote their training courses at lower cost and with greater efficiency. Copyright © 2013 John Wiley & Sons, Ltd.

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Combining Decision Making Trial and Evaluation Laboratory with Analytic Network Process to Perform an Investigation of Information Technology Auditing and Risk Control in an Enterprise Resource Planning Environment

Cited by 17 publications

References 54 publications

Performance Management by Causal Mapping: An Application Field of Knowledge Management

Performance Management by Causal Mapping: An Application Field of Knowledge Management

The Moderating Role of Social Class: Effect of Brand Service Scapes on Loyalty

Combining Multicriteria Decision‐Making Tools to Identify Critical Success Factors that Affect the Performance of Training Course Projects

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