Critical Success Factors for the Adoption of Decision Tools in IPM

The rational control of harmful organisms for plants (pests) forms the basis of the integrated pest management (IPM), and is fundamental for ensuring agricultural productivity while maintaining economic and environmental sustainability. The high level of complexity of the decision processes linked to IPM requires careful evaluations, both economic and environmental, considering benefits and costs associated with a management action. Plant protection models and other decision tools (DTs) have assumed a key role in supporting decision-making process in pest management. The advantages of using DTs in IPM are linked to their capacity to process and analyze complex information and to provide outputs supporting the decision-making process. Nowadays, several DTs have been developed, tackling different issues, and have been applied in different climatic conditions and agricultural contexts. However, their use in crop management is restricted to only certain areas and/or to a limited group of users. In this paper, we review the current state-of-the-art related to DTs for IPM, investigate the main modelling approaches used, and the different fields of application. We also identify key drivers influencing their adoption and provide a set of critical success factors to guide the development and facilitate the adoption of DTs in crop protection.

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Critical success factors for post-disaster infrastructure recovery

Disaster Prevention and Management An International Journal ◽

10.1108/dpm-01-2016-0006 ◽

2016 ◽

Vol 25 (5) ◽

pp. 685-700 ◽

Cited By ~ 11

Author(s):

Miao Liu ◽

Eric Scheepbouwer ◽

Sonia Giovinazzi

Keyword(s):

Decision Making ◽

Disaster Recovery ◽

Critical Success Factors ◽

Success Factors ◽

Recovery Process ◽

Decision Making Process ◽

Structured Interviews ◽

Content Type ◽

Critical Success ◽

Post Disaster

Purpose The purpose of this paper is to synthesise critical success factors (CSFs) for advancing post-disaster infrastructure recovery and underpinning recovery authorities in decision making when facing future disasters. Design/methodology/approach The seismic recovery after the Canterbury (NZ) earthquake sequence in 2010-2011 was selected as a case study for identifying CSFs for an efficient recovery of infrastructure post-disaster. A combination of research approaches, including archival study, observations and semi-structured interviews were conducted for collecting data and evidences by engaging with participants involved at various tiers in the post-disaster recovery and reconstruction. The CSFs are evaluated and analysed by tracking the decision-making process, examining resultant consequences and foreseeing onwards challenges. Findings Six salient CSFs for strengthening infrastructure recovery management after disasters are identified. Furthermore, the study shows how each of these CSFs have been incorporated into the decision-making process in support of the post-disaster recovery and what difficulties encountered in the recovery process when implementing. Practical implications The proposed CSFs provide a future reference and guidance to be drawn on by decision makers when project-managing post-disaster recovery operations. Originality/value The value of the paper is that it bridges the gap between managerial contexts and technical aspects of post-disaster recovery process in an effort to rapidly and efficiently rebuild municipal infrastructure.

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APPLICATION OF MULTI-CRITERIA DECISION MAKING PROCESS TO DETERMINE CRITICAL SUCCESS FACTORS FOR PROCUREMENT OF CAPITAL PROJECTS UNDER PUBLIC-PRIVATE PARTNERSHIPS

International Journal of the Analytic Hierarchy Process ◽

10.13033/ijahp.v3i2.121 ◽

2011 ◽

Vol 3 (2) ◽

Cited By ~ 6

Author(s):

Christian Tabi Amponsah

Keyword(s):

Decision Making ◽

Critical Success Factors ◽

Success Factors ◽

Public Private Partnerships ◽

Decision Making Process ◽

Multi Criteria Decision Making ◽

Capital Projects ◽

Planning And Control ◽

Critical Success ◽

Environmental Controls

Investigation about project success has attracted the interest of many researches and practitioners. Determining the critical success factors for procurement of capital projects is a contemporary phenomenon. This paper presents the outcome of an investigation into the critical success factors in Public-Private-Partnerships (P-P-P) for procurement of capital projects using the multi-criteria decision making process. Drawing from the results of responses to a survey of 705 experts involved in P-P-P projects worldwide, the paper presents the critical success factors (CSF) from a list of 47 factors, identified as contributing to the successful delivery of capital projects. The study revealed that owner satisfaction with the delivered project, adherence to schedules/budget/quality/ safety/environmental controls, and appropriate funding mechanisms were predictable factors while lack of legal encumbrances, clearly defined project mission and adequate planning and control techniques were less commonly expected factors.http://dx.doi.org/10.13033/ijahp.v3i2.121

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An Investigation of BI Implementation Critical Success Factors in Iranian Context

International Journal of Business Intelligence Research ◽

10.4018/ijbir.2014070104 ◽

2014 ◽

Vol 5 (3) ◽

pp. 41-57 ◽

Cited By ~ 3

Author(s):

Ahad Zare Ravasan ◽

Sogol Rabiee Savoji

Keyword(s):

Decision Making ◽

Factor Analysis ◽

Business Intelligence ◽

Critical Success Factors ◽

Success Factors ◽

Successful Implementation ◽

Domain Experts ◽

Critical Success ◽

Decision Making Processes ◽

Iranian Context

Nowadays, many organizations take Business Intelligence (BI) systems to improve their decision-making processes. Although many organizations have adopted BI systems, not all of these implementations have been successful. This paper seeks to identify critical success factors (CSFs) that impact on successful implementation of BI systems in organizations. So, at first, through literature review, 26 CSFs were identified. Following that, a questionnaire was developed and then filled out by domain experts who had at least three years of experience in BI implementation projects in Iran. Robust Exploratory Factor Analysis (EFA) was run for data analysis, which finally classified 26 CSFs into four distinct groups termed as “organizational”, “human”, “project management”, and “technical”. The results of this study provide a very useful reference for scholars and managers to identify the relevant issues of BI projects in Iran.

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Critical Success Factors of Enterprise Data Analytics and Visualization Ecosystem

International Journal of Information Technology Project Management ◽

10.4018/ijitpm.2019070103 ◽

2019 ◽

Vol 10 (3) ◽

pp. 34-55

Author(s):

Mohammad Daradkeh

Keyword(s):

Decision Making ◽

Data Analytics ◽

Critical Success Factors ◽

Success Factors ◽

Successful Implementation ◽

Structured Interviews ◽

Integrative Framework ◽

Critical Success ◽

Increasing Demand ◽

Effective Decision Making

With the huge proliferation of Big Data, combined with the increasing demand for analytics-driven decision-making, the data analytics and visualization (DAV) ecosystem is increasingly becoming a trending practice that many enterprises are adopting to gain actionable insights from corporate data for effective decision-making. Although DAV platforms have tremendous benefits, extant research has paid insufficient attention to the investigation of the critical success factors (CSFs) underpinning their successful implementation in enterprises. In order to bridge this knowledge gap, this study presents an integrative framework synthesizing a set of CSFs for implementing DAV platforms in enterprises. A qualitative research methodology, comprising semi-structured interviews with IT and business analysts, was conducted to collect and analyze the interview data. Analysis of results revealed that the CSFs of DAV implementation exist in various dimensions composed of organizational, technological, process, and people perspectives. This study provides several theoretical and practical implications.

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Determining and Ranking of CSFs for Design Capabilities Development in Malaysian Automotive Vendors

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.433-440.2212 ◽

2012 ◽

Vol 433-440 ◽

pp. 2212-2218

Author(s):

Ana Sakura Zainal Abidin ◽

Rasli Muslimen ◽

Rosnah Mohd Yusuff

Keyword(s):

Decision Making ◽

Critical Success Factors ◽

Success Factors ◽

Development Process ◽

High Technology ◽

Multi Criteria Decision Making ◽

Critical Success ◽

Successful Design

Competition dynamically pushes manufacturing ahead. Consequently, design capabilities identified as strategic weapon that offers tremendous opportunities. However, design capabilities development is a stringent challenge to an organization especially in high technology base like automotive. In Malaysia, especially vendors has limited capabilities consequently bound the development steps. There are numerous critical success factors (CSFs) involved in developing successful design capabilities. Thus, makes the development process more complicated. All important CSFs have to be determined and rank accordingly. The CSFs are then applied in a model, using multi criteria decision making approach to facilitate the development process.

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The Implementation of Multi-touch Table to Support the Military Decision Making through Critical Success Factors (CSFs)

Human-Computer Interaction. Interaction Modalities and Techniques - Lecture Notes in Computer Science ◽

10.1007/978-3-642-39330-3_56 ◽

2013 ◽

pp. 523-529

Author(s):

Norshahriah Wahab ◽

Halimah Badioze Zaman

Keyword(s):

Decision Making ◽

Critical Success Factors ◽

Success Factors ◽

Critical Success ◽

The Military ◽

Military Decision Making

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Critical Success Factors influencing Web-Based Decision Support Systems in Online Shopping Context

INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY ◽

10.24297/ijmit.v8i3.1950 ◽

2014 ◽

Vol 8 (3) ◽

pp. 1364-1371

Author(s):

Mohammed A. I. Ayoub

Keyword(s):

Decision Making ◽

Decision Support ◽

Decision Support Systems ◽

Critical Success Factors ◽

Success Factors ◽

Online Shopping ◽

Support Systems ◽

Quality Data ◽

Web Based ◽

Critical Success

Web-based decision support systems are increasingly used over the past years. However, few studies have been conducted on evaluation of web-based decision support systems especially in the field of online shopping. This paper attempts to explore the critical success factors that influence decision making satisfaction in online shopping context by providing a conceptual model for this purpose. Although there are various factors which contribute in making online shopping decisions but this study focuses on five factors i.e. web site quality, data quality, knowledge management, decision making satisfaction, and perceived net benefit. Also, this research will use existing models that explain and predict information systems success. However, these success models need to be updated to recurrent industry developments since the updating existing IS success models, a better understanding of web-based DSS practitioner success can be achieved.

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An Investigation of BI Implementation Critical Success Factors in Iranian Context

Business Intelligence ◽

10.4018/978-1-4666-9562-7.ch096 ◽

2016 ◽

pp. 1935-1951

Author(s):

Ahad Zare Ravasan ◽

Sogol Rabiee Savoji

Keyword(s):

Decision Making ◽

Factor Analysis ◽

Data Analysis ◽

Critical Success Factors ◽

Success Factors ◽

Successful Implementation ◽

Domain Experts ◽

Critical Success ◽

Decision Making Processes ◽

Iranian Context

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Identification and prioritization of critical success factors of knowledge management implementation using a novel hybrid group decision-making model

VINE Journal of Information and Knowledge Management Systems ◽

10.1108/vjikms-02-2021-0023 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Behzad Ghasemi ◽

Changiz Valmohammadi

Keyword(s):

Decision Making ◽

Knowledge Management ◽

Hybrid Model ◽

Group Decision Making ◽

Critical Success Factors ◽

Success Factors ◽

Group Decision ◽

Oil Industry ◽

Content Type ◽

Critical Success

Purpose The purpose of this study is to identify and prioritize the critical success factors (CSFs) of knowledge management (KM) implementation through a novel hybrid model, namely, Fuzzy Delphi method (FDM), interpretive structural modeling (ISM) and revised Simos, which is one of group decision-making (GDM) approaches. Design/methodology/approach The CSFs of KM implementation were identified through a systematic literature review. FDM was adopted to determine the CSFs in the Iranian oil industry. Then, a novel hybrid model consisting of ISM and revised Simos techniques were used to classify and prioritize the CSFs. Findings The obtained results suggest that there are 13 CSFs of KM implementation. The result of ISM shows that the CSFs of KM implementation were classified into five levels. The result of revised Simos reveals that the “human resources management” obtained the highest priority and “leadership commitment and support” and “intellectual capital” ranked second and third, respectively. Research limitations/implications As this research was performed in the Iranian oil industry, caution should be taken regarding the generalizability of the obtained results. Practical implications The top managers of the surveyed companies could get acquainted with CSFs of KM implementation in their organization and use a GDM technique that has various advantages to solve the relevant problems. Originality/value This paper provides a twofold contribution to expand KM and GDM literature and to the best knowledge of the authors, it is a novel hybrid GDM model of its kind.

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