Data Governance for Businesses: Challenges, Recommenda tions, and Critical Success Factors

The present research mainly focuses on the review of existing literature on the topic of critical success factors (CSF) in supply chain structures. The main aim of this study is to identify the major critical success factors (CSF) that have been identified previously by academics and researchers during their research on the topics related to the discipline of supply chain management. The literature survey technique has been applied for the present research. This research is based on a critical review of seventy-three published studies on supply chain structures obtained from most important research databases by using the keywords related to supply chain structures such as barriers in the supply chain, critical success factors in supply chain structures. This study will not only contribute towards the existing literature on supply chain structures but will also help researchers to acknowledge the importance of critical success factors in supply chain structures. One of the major aspects of research regarding the supply chain is to reduce cost and that can only be done via effectiveness and efficiency in the processes, which depend on different variables at every level. The researchers have identified many critical success (CSF) factors in designing effective and efficient supply chain structures are a mutual partnership, executing communication and information expertise, support from senior management, human resource management, environmental uncertainty, value-addition process, business management, generating business culture, developing relationships between customer and supplier, logistics. The present research will also highlight the importance of different factors in achieving the effective and efficient in supply chain structures which enable organizations to not only reduce cost but also help them to achieve higher levels of customer satisfaction. This study will also be beneficial for managers as it will enable them to identify the critical success factors for their supply chain structures, keeping in view the nature and business environment of their organization.

Profit and success are considered the main drivers of any organization. Achieving this success is based on many factors which have a direct effect on the performance of these organizations. Predicting construction organizations performance helps define the weak organization points in order to improve its performance and increase the profit. In construction organizations, it is more difficult to achieve or maintain a scientific strategy to measure their current success due to the diversity and complexity of construction organizations. Previous studies used questionnaires and interviews with technical and professional persons. However, most of these studies concentrated on the critical success factors on project level. The scope of this study is to investigate the most significant organizational success factors with focus on construction organizations. This paper aims at determining most significant (i.e. critical) success factors, and to develop a model to predict the company performance based on these critical success factors. The potential success factors were surveyed from the literature study. A questionnaire was prepared for evaluating the effect of those potential success factors on organizational performance. The data collected were analyzed using Artificial Neural Networks (ANNs). Neuro-Shell software was used to rank the potential success factors utilizing the data obtained from different construction organizations. The critical success factors were used in-turn to develop a NN prediction performance model of construction organizations. The model can be used to predict the performance of a construction organization based on estimated values of its success factors.

The Cloud is not as new as it seems. All cloud computing literature is more than 50 years old, as indeed are the concepts that were recognized as early as the 1950s in the work done by AT&T in the area of telephony networking. Cloud computing is a set of services that provide infrastructure resources using internet media and data storage on a third party server. Most importantly on the basis of these research a list of critical success and failure factors were introduced to manage the cloud based ERP implementation successfully at Indian SMEs. The focus of ERP consultants should be to give more consideration to Critical Success Factors (CSFs) at the same time they should try to minimize the effects of Critical Failures Factors (CFFs) as much as possible during the conventional & cloud based ERP implementation at Indian SMEs. Findings are discussed in detail along with the implications of this research for the future work. It is hoped that this research will help to bridge the current literature gap and provide practical advice for both ERP academics and ERP practitioners. The implication of the research will help the ERP consultants for successful ERP implementation at Indian SMEs by promoting CSFs and by avoiding CFFs. Efficient and effective management of these thirty CSFs and twenty CFFs based on the recommendation and checklist supported by strategic ERP model can helps to ERP consultants in determining the priority of the factors according to their importance while implementing ERP system for Indian SMEs. Even if in some cases this model, recommendation and checklist may not help due to the limitation of this research as discussed in this paper, still there will be no harm to any involve party by managing these thirty CSFs and twenty CFFs efficiently and effectively.

The purpose of this study is to investigate the relationship between the critical success factors and the critical delays in the context of water infrastructure construction projects (WICPs) in the Abu Dhabi Emirate. In addition, the purpose of this paper is to develop a conceptual model to investigate the potential relationship. The literature concerning the critical success and delay factors and the related models that are available provide a starting point for developing the conceptual model. Based on the comprehensive and thorough literature review, all the dimensions of the variables are identified and discussed in detail.This study attempts to reduce the existing gap in the literature regarding the relationship between the critical success factors and critical delay. It forms a foundation upon which further local research can be conducted. In addition, it attempts to identify and point out the most critical success factors that will minimize the delay claims in water infrastructure construction projects (WICPs), as such delays would lead to some of the most difficult and controversial disputes to resolve. Internationally, it is expected that the findings of this research may help as an evidentiary reference data on which other and further similar comparative researches could be initiated and developed in different environments in terms of cultural, social, contractual, political, and environmental mediums.Finally, the conceptual framework was developed by identifying six (6) variables for project critical success namely Project Management Process (PMP), Project Manager Competency (PMC), Project Team Members’ Competency (PTC), Project Organizational Planning (POP), Project Resources’ Utilization (PRU) and Project Organizational Commitment (POC).

This research focuses on the critical success and failure factors of microfinance institutions (MFIs) in Lusaka, Zambia, addressing a vital aspect of the financial landscape that impacts small businesses and low-income individuals. Despite the positive role of MFIs in providing financial assistance to entrepreneurs, recent closures of six institutions in Zambia underscore the need to understand the factors influencing their success or failure. The problem statement highlights the potential consequences of MFI closures, such as negative impacts on women, increased poverty levels, income inequality, child labor, and barriers to sustainable local economic development. Notably, the study aims to fill a research gap by assessing factors affecting MFIs' operations in Zambia, particularly those leading to closures, which the Bank of Zambia has not yet addressed or documented. The research objectives are clear and specific, intending to assess both critical failure factors from MFIs that have closed in Lusaka and critical success factors for the functioning of MFIs in the region. Additionally, the study aims to suggest measures to enhance the application of these critical success factors. Moving into the research methodology, an exploratory research design is chosen, providing a foundation for assessing the critical success factors of MFIs in Zambia. The mixed-method approach, incorporating qualitative and quantitative strategies, enhances the comprehensiveness of the study. The target population comprises 29 registered MFIs in Lusaka, and a one-stage cluster sampling technique is applied to select 10 MFIs with 60 key informants. The use of questionnaires for data collection, both open and closed-ended, facilitates the gathering of both qualitative and quantitative information. Ethical considerations are diligently addressed, ensuring informed consent, confidentiality, justice, anonymity, and protection from harm. In the discussion of findings, a demographic analysis reveals important characteristics of the respondent base, emphasizing the predominantly male representation and the prevalence of tertiary education among participants. Objective one focuses on assessing critical failure factors, with limited access to funding, operational efficiency, and limited financial literacy emerging as primary challenges. Objective two delves into critical success factors, highlighting financial stability, marketing strategies, technology adoption, and outreach to the underserved population as significant considerations. Objective three provides insights into measures employed by MFIs, such as technology integration, capacity building, customer-centric approaches, and risk management systems. The recommendations emphasize diversification of funding sources, tailored financial literacy initiatives, operational efficiency optimization, and enhanced community engagement to address identified challenges. In summary, this study contributes valuable insights into the dynamics of MFIs in Lusaka, offering practical recommendations for their sustained success and impact on local communities.

CRITICAL SUCCESS FACTORS (CSFs) OF THE ORGANISATIONAL CHANGE IN THE DISRUPTIVE TECHNOLOGY CONVERGENCE OF THE GOVERNMENTAL REGULATORY ORGANISATION

Purpose – The purpose of this paper is three pronged. First, to review the existing critical success factors (CSF) literature in the context of supply chain management (SCM). Second, to analyze the occurrence frequency of every possible CSF in SCM literature. Third, to identify the “vital few” and the “useful many” CSF that are harmonized across the SCM field. Design/methodology/approach – A time-specific and term-sensitive literature review technique is undertaken to generate a list of possible CSF in SCM. The review yielded 55 papers, but only 26 empirical CSF papers were selected for analysis as the reliability and validity of the factors had been rigorously tested. Consequently, a Pareto analysis approach was applied to trace the CSF frequency of occurrence in SCM literature. By performing a Pareto analysis, this present study is able to identify and categorize the “vital few” and “useful many” CSF that are consistent throughout various fields of SCM. The review and results are tabulated and a Pareto diagram has been constructed to provide a summary of findings. Findings – Out of the 26 selected empirical papers, 25 potent CSF in SCM literature have been extracted. From the Pareto analysis, nine CSF represent 80.68 percentage of occurrence which is regarded as the “vital few” CSF in SCM. The remaining 16 CSF represent 19.32 percentage of occurrence and is regarded as the “useful many” CSF in SCM. The nine “vital CSF” are immensely important, because in order to achieve supply chain and operation success, one must recognize the few vital factors that are responsible for the larger impact onto the industry compared to the other 16 “useful many” CSF. Practical implications – The study offers some sense of assistance to SCM managers in highlighting the vital few CSF that matter most, regardless of their nature of SCM fields. Thus, saving their energy, time, and resources in determining the critical pieces of information. For academicians, this study provides a platform for future SCM CSF research and the results could aid researchers in developing the research instrument. Originality/value – This study is the first attempt to apply Pareto analysis for SCM CSF studies and critically analyzing a wide range of SCM CSF literature. The result could allow supply chain managers to focus on the internal factors, as it could implicate the external factors, and is vital for sustainable supply chain operation, plus, it could stimulate potential researcher opportunities in linking SCM CSF and firm performance.

The main goal of this research is to examine and then prioritize the critical success factors (CSFs) and delay reasons across the project management implementation stage. The study adopted the qualitative approach to introduce a full classification of the CSFs and delay reasons in project management. A total of 44 articles were reviewed to mine the various CSFs and delays based on conclusions of previous literature. This review leads to define a matrix of factors that are aligned with the project management in the context of the Jordanian construction project. Besides, the questionnaire instrument was designed based on outcomes of the critical analysis of literature; this instrument was administrated to a sample of 198 respondents across 20 Jordanian construction projects. The study sample entailed project managers, engineers, and senior department heads who were asked to assess the relevance and importance of the extracted CFSs. The questionnaire instrument was designed based on a 5-points Likert scale. Further, the data analysis was conducted based on the means values of the responses. The literature review resulted in categorizing the factors into five groups, namely, human’s related factors, organizational and managerial, material factor, project-related factors, and the external environment and stakeholders’ factors.
 
 This research applied a taxonomy approach to classifying the mean values throughout three ideas, namely, the classification of the major success factors and delays, the exploration of the sub success factors and delays within each significant factor, and last the exploration of the most critical sub success factors and delays regardless of the significant factor they are linked to this group. According to the analyses results, the major success factors were evaluated based on priority ranking, and the results showed that the projects related factors group was the most crucial motive of either success or delays. Still, human-related factors were the least important factors group; however, the “coherent team.” was the most sub factor evaluated. For the organizational and managerial sub-factors, the functional manager support was the most evaluated subfactor. Last, the materials sub-factor of the availability of materials was ranked as the most subfactor evaluated.

A recent growing delivery method used in highway projects is public–private partnerships (PPPs). PPPs are when public agencies collaborate with private parties for private financing at risk or operating services, which makes PPPs significantly different from other delivery methods used by public agencies—for example, design-bid-build, construction management at risk, and design-build. Despite the efforts of previous studies, questions remain unanswered: What are the contributing critical success factors that fit PPP highway projects? What are the risk factors that play key roles in PPP highway projects? This study aimed to address these questions through a Delphi study approach with the help of experienced professionals at state departments of transportation. Participants participated in interviews in the first round and completed a survey questionnaire in the second round of a Delphi study. After achieving an acceptable level of consensus from the first round of responses, the study identified and ranked the top critical success and risk factors for PPP highway projects. The study found that the top three critical success factors were (1) proper risk assessment and allocation to private parties; (2) realistic assessment of project estimates, risks, and revenues; and (3) avoidance of ambiguous language in contracts. In addition, the top risk factors identified were (1) revenue stream projections; (2) construction risks; and (3) design risks. The primary contribution of this research to the body of knowledge is to draw the attention of professionals in both industry and academia to the PPP highway industry, critical factors for PPP success and risks, and the successful completion of future PPP projects.

The United States confronts significant challenges within the water and wastewater sectors. According to the American Water Works Association (AWWA), a capital investment of $1.3 trillion is necessary for the repair and replacement of water infrastructures in the United States over the next 25 years. As alternative delivery methods are new in the water and wastewater sectors, the utility owners lack expertise and experience in executing these delivery methods. Thus, it is important to investigate the critical success items and factors of Design-Build (DB) methods, thereby ensuring that projects are completed within scheduled timeframes and budgets with better quality. To address this need, the present study undertakes a comprehensive literature review to identify the critical success factors associated with DB methods. Subsequently, a survey is conducted among both public and private utility owners to rank these items. The study identifies top critical success items related to completing projects within schedule and budget. Through principal component analysis, five budget- and schedule-related critical success factors were extracted. The outcomes of this study are the top critical success items and factors, thereby providing valuable insights for water and wastewater utility owners to focus on these items and factors intensively and help them execute the projects with great success.

PurposeThere is a limited number of research work on critical success factors (CSFs) in public construction projects in Saudi Arabia. In response to this knowledge gap, the objective of this paper is to assess the impact of CSFs on the government construction projects in Saudi Arabia. The success factors are investigated from a broader consideration of failure criteria, from consideration of most effectiveness in successful project completion and also from consideration of the impact of implementing control processes for successful project completion.Design/methodology/approachThis study has analysed the impact of success factors on construction projects in Saudi Arabia using a descriptive methodology. An exhaustive literature survey is undertaken to identify the success and failure factors related to government construction projects in Saudi Arabia. The survey data are sorted out and analysed by cost, schedule, technical, context and finance dimensions of the projects based on project types, engineering complexity, size, modality, jurisdictional control and funding approach. To evaluate the influence of success factors implementation, qualitative data were collected in a survey via a web-based questionnaire that was sent to officials working and occupying a responsible position in national project guidelines organizations and in government construction organizations in Saudi Arabia. In all, 28 CSFs were identified, ranked and evaluated for their impact on project success. The four identified factors belong to process categories of construction projects, nine factors belong to management of construction projects and 15 success factors are identified for impact assessment of implementation in construction projects.FindingsThe study's findings have identified and ranked the top five CSFs that significantly influence project outcomes, including meeting time targets, adhering to financial budgets, delivering desired outcomes for all stakeholders, effectively managing risks and assembling the appropriate team while optimizing resource allocation. Additionally, the research indicates that hindrances to projects primarily stem from execution, economic, human and political factors. The study advocates for strict controls over incomplete engineering designs and advises against contractors independently handling design work to ensure project success. Additionally, addressing contractors' qualifications and financial matters is crucial for project success. By highlighting these CSFs and challenges, the research provides actionable insights to enhance project management practices in the construction industry.Research limitations/implicationsThis study is limited to the infrastructure projects constructed by governmental bodies with the participation of officials from government organizations. Further study, including private projects and officials working on private projects, may be needed to generalized the research outcome.Originality/valueNumerous studies have investigated CSFs in construction projects, but few have examined their relevance to Saudi Arabian government projects. This study aims to fill this gap by identifying key CSFs specific to Saudi Arabian public sector construction projects and assessing their impact on project success. It advocates for stringent controls in the Saudi Arabian construction sector, emphasizing the importance of preventing incomplete or altered engineering designs by contractors to increase the success rate of public sector projects. This research offers practical insights to stakeholders, advancing project management practices in Saudi Arabia's construction sector for improved outcomes and resource utilization.

Identifying critical success factors (CSFs) of continuous improvement projects is crucial for management control and operations management domains. Despite the availability of manufacturing-related literature, studies on CSFs in more dynamic and complex healthcare-related operations are scarce. This study, based at a large public tertiary healthcare organization, identifies CSFs in implementing Lean Six Sigma (LSS). 62 LSS projects completed by Green Belts in consultation with Black Belts were analyzed for project success by a review team of practitioners (Black Belters) and academics. Using a grounded theory approach, numerous success factors were initially identified. A series of brainstorming sessions and workshops helped to narrow down and revise all the CSFs present in each of the 62 LSS projects to eight CSFs. The success of the 62 completed projects was assessed against each of the eight CSFs on a five-point Likert scale. Success was measured against whether the project met its stated aim and achieved the Key Performance Indicators that had initially been identified. Finally, the correlations of each factor rating against project success were analyzed to validate the relationship between each success factor and project success. The findings confirm that all eight CSFs identified are significantly correlated to project success. This study contributes to the management control, operations management, and healthcare literature by identifying CSFs of continuous improvement projects and introducing a relatively unique, rigorous, and practically proven evaluation method applied via an industry and academic partnership. Specified CSFs and the method used to identify these will benefit managers of continuous improvement projects.

The present article investigates critical contextual success factors that influence business intelligence (BI) system success and design in organizations with regard to their relevance, variability, and controllability. The initial set of factors is based on an analysis of extant literature and serves as the basis for further research on this topic. In contrast to previous studies, a Delphi Study provides several advantages such as the validation of possible critical factors by domain experts and the multi-dimensional view on these factors. A carefully selected expert panel investigated the factors not only by means of relevance but also assessed each factor in terms of variability and controllability. This multi-dimensional approach allowed us to identify six distinct clusters of factors with similar attributes and, hence, similar implications for practice. This paper contributes to IS research on critical success factors and system design variables in general and gives specific insights into the BI domain. The results are expected to support BI managers addressing their challenges in BI initiatives and they also provide directions for future research.

PurposePublic–private partnership (PPP) projects play a pivotal role in fostering infrastructure development in developing countries. This study aims to identify major barriers and critical success factors (CSFs) for PPP projects in Vietnam.Design/methodology/approachThe study initially conducted an extensive literature review and interviewed industry experts to compile a comprehensive list of barriers and success factors. Subsequently, a survey involving 250 construction professionals was conducted to assess these identified factors. The research used both ANOVA test and hierarchical regression analysis to explore the relationship between participants’ characteristics and assessments.FindingsThe results could provide a valuable reference for practitioners by assessing barriers and CSFs in PPP projects. Specifically, the ANOVA analysis indicated a positive correlation between barrier assessment and participants’ experience, while the influence of participants’ sector on the evaluation was minor. Furthermore, the hierarchical regression analysis demonstrated that participants’ sector did not moderate the relationship between barrier assessment and industry experience.Originality/valueThis research contributes to the existing literature by offering empirical insights into barriers and CSFs specific to PPP projects in a developing country context. The findings highlight the crucial role of experienced professionals in ensuring PPP project success. Moreover, the study provides construction practitioners with a better understanding of the essential factors and supports the development of effective management strategies for future PPP projects.

Purpose – The aim of this paper is to propose a benchmarking model of supplier development (SD) for an Indian gear manufacturing company for its successful adoption and improvement in a continuous basis. Design/methodology/approach – Thirteen SD critical success factors (CSFs) are identified and classified into four categories through extensive literature review and discussion held with managers/senior engineers in different Indian manufacturing companies. The four categories are primary CSFs related to supplier, secondary CSFs related to supplier, CSFs related to manufacturer and CSFs related to both manufacturer and supplier. The interpretative structural modeling (ISM) approach is applied to the Indian gear manufacturing company for developing and analyzing structural framework of CSFs to propose a benchmarking model for SD. Findings – It is concluded that SD adoption should be carried out in four phases sequentially for the Indian gear manufacturing company. The first, second, third and fourth phase should sequentially focus on primary CSFs related to supplier; secondary CSFs related to supplier; CSFs related to manufacturer; and CSFs related to both manufacturer and supplier, respectively. The proposed benchmarking model has four phases (i.e. plan, analyze, implement and measure) and bifurcated into 12 steps to enhance the performance of CSFs. Practical implications – This paper provides a useful benchmarking model for successful adoption of SD in manufacturing organizations. Originality/value – This is one of the few studies to develop the relationship of CSFs for SD in general and its application to an Indian gear manufacturing company in particular. A benchmarking model for SD is also proposed having five phases and 12 steps. The findings of the proposed structural framework and benchmarking model for the Indian gear manufacturing company are discussed in detail and will serve as a guideline for successful adoption of SD in manufacturing environment.