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Inefficiencies in public-private partnership (PPP) has been attributed to deficient and poor governance practices and structures. It has been recognized that a veritable way to achieve efficiency in PPP governance is through gaining an understanding of the theoretical, practical and contextual factors that underline governance practices in PPP project delivery. The purpose of this study is to explore the significant governance factors in PPP project performance and delivery.

Using a questionnaire survey on major players in PPPs in policy, research, consultancy and professionals, the study sought to delineate the significant governance factors that impact PPP project delivery performance.

A step-wise multiple regression analysis revealed effective communication and openness in sharing project information systems, competent, responsible and effective project leadership, trust-building processes, systems and practices, best practice organizational and team norms, team culture, cohesion practices, effective relationship management practices, robust policy diffusion and transfer processes, friendly business environment and government support and contractual and renegotiation flexibility as the key contractual and non-contractual governance factors that can predict about 79% level of PPP project delivery performance.

The findings offer support to improve PPP delivery in governance.

These findings are, thus, useful toward evolving regulatory quality governance mechanisms, flexible supervision and quality decisions that can enhance value for money in PPP projects in PPP project delivery.

The purpose of this paper is to propose an approach for managing relevant factors and activities for implementing data governance in an organization. The process of assessing the establishment of data governance in an organization is intrinsically imprecise, due to the characteristics of new problem settings, particularly in relation to newly generated alternatives or vaguely defined qualitative assessment criteria.

To reject the inherent subjectiveness and imprecision involved in the evaluation process, the authors use the concept of fuzzy logic in this approach for developing the assessment model and analyzing the model for allocating the management efforts in the most efficient way to improve the data governance deployment level.

This paper identifies relevant factors and activities for implementing data governance in an organization and evaluates the state of data governance based on causal relationships between influential factors. In this study, factors are prioritized for effective allocation of limited management efforts in any improvement plan.

The interrelationships among factors are contextual and based on the perceptions of experts who may be biased as per their background and area of expertise. Meanwhile, lack of a data governance plan may cause failure during its implementation in an organization, as the worth of an organization's data will not be determined precisely. The paper has tremendous practical implications for organizations that intend to implement the data governance program and evaluate its state to design an improvement plan.

The paper proposes an approach for implementing data governance in an organization faced with limited resources for improvement.

The purpose of this paper is to attempt to find out whether the new information and communication technologies can make a significant contribution to the achievement of the objective of good governance. The study identifies the factors responsible for creating a conducive environment for effective and successful implementation of e-governance for achieving good governance and the possible barriers in the implementation of e governance applications. Based on the comprehensive analysis it proposes a strategic policy framework for good governance in Punjab in India. Punjab is a developed state ranked amongst some of the top states of India in terms of per capita income and infrastructure.

The study designs a framework for good governance by getting the shared vision of all stakeholders about providing good quality administration and governance in the Indian context through “Participatory Stakeholder Assessment”. The study uses descriptive statistics, perception gap, ANOVA and factor analysis to identify the key factors for good governance, the priorities of public regarding e-services, the policy makers’ perspectives regarding good governance to be achieved through e-governance.

The study captures the good governance factors mainly contributing to the shared vision. The study further highlights that most Indian citizens in Punjab today believe in the power of information and communication technology (ICT) and want to access e-governance services. Major factors causing pain and harassment to the citizens in getting the services from various government departments include: unreasonable delay, multiple visits even for small services; poor public infrastructure and its maintenance in government offices. In the understanding of citizens the most important factors for the success of e-governance services are: overall convenience and experience of the citizens; reduction in the corruption levels by improvement in the transparency of government functioning and awareness about the availability of service amongst general masses.

The present study has evolved a shared vision of all stakeholders on good governance in the Indian context. It has opened up many new possibilities for the governments, not only to use ICTs and help them in prioritizing the governance areas for focused attention, but also help to understand the mindset of the modern citizenry, their priorities and what they consider as good governance. The study will help policy makers focus on these factors for enhancing speedy delivery of prioritized services and promote good governance in developing countries similar to India.

This paper explores how conflicting institutional logics shape the behaviors of macro- and micro-level actors in their use of a calculative practice. Thereby, this paper explains how quantification can undermine the intended purpose of a governance system based on a single number.

The study draws upon the literature on calculative practices and institutional logics to present the case of how a single number—specifically the conversion factor for Atlantic Cod, established by macro-level actors for the purposes of governance within the Norwegian fishing industry—is interpreted and used by micro-level actors in the industry. The study is based on documents, field observations and interviews with fishers, landing facilities, and control authorities.

The use of the conversion factor, while intended to protect fish stock and govern industry actions, does not always align with the institutional logics of micro-level actors. Especially during the winter season, these actors may seek to serve their interests, leading to potential system gaming. The reliance on a single number that overlooks seasonal nuances can motivate unintended behaviors, undermining the governance system’s intentions.

Integrating the literature on calculative practices with an institutional logics perspective, this study offers novel insights into the challenges of using quantification for the governance of complex industries. In particular, the paper reveals that when the logics of macro- and micro-level actors conflict in a single-number governance system, unintended outcomes arise due to a domination of the macro-level logics.

The goal of this research is to establish which contextual factors influence the selection of relational governance instruments in supply chains (SCs) and how these factors impact the expected performance.

A systematic literature review (SLR) identified 103 conceptual, empirical and analytical studies between 2007 and 2017.

A conceptual framework is developed from the categorization of contextual factors, relational governance instruments and expected SC performance. The conceptual framework provides three propositions: (1) The choice for relational governance instrument is influenced differently by the contextual factors; (2) the impact that the contextual factors have on the governance instruments and SC performance is mediated by trust; (3) The SC performance is affected differently by the instruments of flexibility, solidarity and information sharing.

The findings of this research can help business managers better govern and know the contextual factors and use different relational governance instruments and trust dimensions to drive the expected results of the SC.

The synthesis reveals contingencies of relational governance instruments in SCs for performance expected in different contexts and proposes a standpoint for further research in the area.

The purpose of the paper is to compare visitor perspectives of the governance of two of Canada's largest park systems: the parastatal model of Ontario Provincial Parks and the public and for‐profit combination model of British Columbia Provincial Parks.

The authors developed an electronic survey based on the ten UNDP criteria of governance: strategic vision, accountability, transparency, consensus‐orientation, public participation, efficiency, effectiveness, responsiveness, equity, and rule of law. The survey was administered to park visitors for both park systems in the summer of 2008 and spring of 2009 (British Columbia Provincial Parks n=112, Ontario Provincial Parks n=255).

Researchers determined that the ten governance sections of the survey actually form 11 governance factors. Data suggested statistically significant differences in regards to the visitors' perceptions between the two park systems. Specifically, visitors to Ontario Parks ranked all 11 criteria of governance higher, closer towards good governance, than did visitors to British Columbia Parks (p<0.001).

These results suggest that the Ontario Parks parastatal model is closer to the ideals of good governance as perceived by the park users, when compared to the British Columbia parks' public and for‐profit combination model. This paper also provides future policy makers with a new understanding of the multiple factors that affect visitors experience and perceptions of protected areas.

This is one of the first studies to investigate visitors' perceptions of two commonly used protected area management models. These research findings contribute to the debate regarding which protected area management model is superior when compared using the UNDP governance criteria.

The purpose of this paper is to qualitatively validate the constructs of a theoretically derived research model while gaining insights to steer the direction of a greater study on methodologies, their elements, and their impact on project success. In doing so, to investigate whether different project environments, notably project governance, impacts the relationship between methodologies and project success.

A deductive approach was applied to validate a theoretically derived research model. In total, 19 interviews across 11 industrial sectors and four countries were used to collect data. Pattern-matching techniques were utilized in the analysis to deductively validate the research model.

There is a positive relationship between project methodology elements and the characteristics of project success; however, environmental factors, notably project governance, influence the use and effectiveness of a project methodology and its elements with a resulting impact on the characteristics of project success.

Project governance plays a major role in the moderating effect of a project methodology’s effectiveness. Contingency theory is applicable to a project’s methodology’s selection and its customization according to the project environment.

Understand the impact of project methodologies and their elements on the characteristics of project success while being moderated by the project environment, for example, the risk of suboptimal project performance due to the effectiveness of methodology elements being negatively impacted by the project environment.

The impact of a project methodology (collection of heterogeneous-related elements) on the characteristics of project success is identified while being moderated by the project environment, notably project governance.

The purpose of this paper is to establish a decision‐making governance framework for transferring a product/service from one EU host market to another.

Prior research concerning the relation between marketing decision governance (centralised versus decentralised) and standardisation strategy/performance tends to focus on the home‐host scenario. This study has utilised the experience of 70 firms operating in the cross‐market scenario in the EU region – i.e. transferring a product/service from one EU host market to another – in order to establish its decision‐making governance framework. The respondents were operating in both the manufacturing and service sectors.

It was found that firms with large size and a high level of business experience, operating in a similar cross‐market environment, or in a country pair that has a difference in market potential, are more likely to pursue a decentralised governance. Firms operating in a highly different market environment and in host markets with a high variation in market potential are likely to adopt an adaptation strategy. Marketing decision governance is not suggested to be related to standardisation strategy. Decentralised governance is found to be related to profitability, while adaptation was associated with market share. Market share is related to profitability.

The research findings suggest that firms can utilise their decision‐making and standardisation strategy separately to achieve their performance objectives when operating across the EU region. The outcomes established in the study have provided a new guidance on the research concerning structure, strategy and performance.

Malaysia is recognised as an emerging country with a large Muslim population, making the Malaysian Takaful industry the largest Takaful market in the Southeast Asia region and, notably, one of the fastest growing markets globally. Malaysia is also the first country globally to implement a risk-based capital framework for Takaful. Therefore, the purpose of this paper is to identify the factors that influence the efficiency level (cost efficiency and technical efficiency) of the Takaful industry and to examine the effects of Takaful insurance firms’ specific factors and corporate governance factors that influence the efficiency of Takaful insurance in Malaysia.

In this paper, the efficiency level of the Malaysian Takaful industry was examined between 2011 and 2015. The sample consisted of 11 family Takaful and 8 general Takaful operators. Two-stage Data Envelopment Analysis (DEA) was used by first, conducting non-parametric frontier data envelopment analysis to obtain a DEA score for each operator. This was followed by panel regression with the DEA scores as the dependent variable and the insurance firms’ specific factors and corporate governance factors as the independent variables.

The results of DEA indicate that Takaful operators in general have allocative inefficiency but family Takaful is more cost efficient than general Takaful. Results of panel data analysis reveal that corporate governance factors do influence the cost efficiency but find no evidence on the firm-specific factors towards the cost efficiency and technical efficiency on Takaful operators. Board size and the proportion of non-executive directors impose a negative and significant relationship with cost efficiency, while proportion of Muslim directors in the board is not significant.

This paper focused solely on Malaysia which uses strict regulations governing the Takaful insurance market. Due diligence was also performed to minimise any limitation in the paper. It is proposed that future studies should examine this issue in greater detail by incorporating more data from other Muslim countries.

The findings of this paper have significant implications for policymakers to understand the efficiency condition in the Takaful market. Takaful operators should maintain a small board size with a higher proportion of executive directors, given they could improve the level of effective decision-making to enhance the cost efficiency. As corporate governance factors are significant, Takaful operators in Malaysia should also undertake transparent disclosure practice and reporting such as providing adequate and relevant information related to Shariah compliance and principles to provide a robust foundation as the Takaful market leader regarding Takaful regulations globally.

The consumer is able to make a better decision when choosing Takaful insurance company to protect their interests.

No similar paper has been undertaken to the best of the researcher’s knowledge using similar research design and scope to investigate the efficiency of Takaful insurance as in this paper. Takaful insurance is a rapidly growing industry in Malaysia, setting a prime example to other countries globally. Malaysia was selected for this study, as it is the only nation that has implemented the most extreme regulation in the Takaful insurance market.

This paper aims to clarify ambiguous results from previous research on the relationship between contextual factors, trust and supply chain governance (SCG).

This study carried out a systematic literature review in 11 databases, with articles published until 2018. Afterward, this study conducted a thematic analysis in 60 articles to address the contextual factors, governance structures and trust approaches raised in previous research.

The thematic analysis revealed that seven contextual factors influence the choice of contractual and relational mechanisms in supply chains: relationship history, environmental uncertainty, perceived risk, perceived justice, asset specificity, power asymmetry and interdependence. The findings explained the ambiguous results of past research by proposing that contractual and relational governance are complementary and that the presence of trust (affective and competence-based) moderates the relationship between contextual factors and SCG.

This research advances the SCG literature by proposing trust (affective and competence-based) as a moderating variable that fosters governance mechanisms in supply chain relationships.