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In literature, it is recognized that there is no universal set of critical success factors (CSFs) applicable to all projects. The goal of this research is to validate a theoretical model which considers that CSFs’ influence on project success (PS) is configurational, that CSFs combine to influence PS.

The authors proposed a theoretical framework which operationalizes CSFs considering contingency and institutional theories' terms, as external contingencies, organizational resources and project strategies, which influence PS. The framework is validated through a qualitative approach on 18 social projects implemented by nongovernmental organizations (NGOs). Based on the conducted semistructured interviews with NGO managers or project managers, 91 instances when CSFs combine to influence PS were identified.

The dominant path reveals the combination of CSFs in terms of strategies adopted to face contingencies (70 instances), another as resources which moderate managers' strategies (14 instances), and in seven instances positive contingencies and resources combine and influence the PS. The results reveal that CSFs combine in reactive and dynamic ways to influence PS.

The research contributes to the vast literature on projects' success by adopting a different perspective. Configurational theory explains project management and projects' complexity better than the traditional approaches, which have a rather correlational perspective.

Several empirical studies indicate that the existence of a large informal sector is a major obstacle to firms’ choices of innovation strategies. This paper aims to address this issue and investigates the effect of the informal sector on the innovation of formal firms in Greece.

Using the World Bank’s Enterprise Survey data, the impact of informal competition on formal firms’ innovation in Greece is investigated by testing whether formal firms use innovation as a tool to protect and sustain their competitive advantage vis-à-vis informal firms and whether overall and informal competition has an inverted-U relationship with the innovation of formal firms. The effects of bribing and other variables drawn from the empirical literature are also controlled for.

The findings fill a gap in the literature regarding the effects of the informal sector on formal economic activity in Greece, by indicating that the informal sector puts pressure on formal firms to innovate, in order to differentiate their product or service and enhance their productivity and by offering learnings to help policymakers to promote innovation in Greece.

The originality of this study is that it investigates the impact of informal competition on formal firms’ innovation in Greece, a developed economy with a large informal sector. It does so by focusing on the effects that formal firms’ informal practices have on their competitors’ innovation activities, and the role of informal competition in creating and sustaining a competitive advantage in Greece.

This article analyzes the determinants of credit constraints and their effects on the productivity of micro-firms in Colombia.

An Endogenous Switching Regression Model (ESRM) is estimated to analyze credit constraint impact on economic performance.

The results show that owner characteristics such as age and gender decrease the likelihood of being constrained. Firms' characteristics, such as legal status, the formality of the employees, commercial property and savings, are important for reducing credit constraints.

This article discusses how formal credit restrictions harm the economic performance of Colombia's micro-firms. The results show that the productivity of the micro firms in Colombia could increase, on average, by U$ 825 USD when all types of restrictions are eliminated.

This study examines the impact of agricultural credit on rice farmers' technical efficiency (TE) in Côte d'Ivoire by considering the heterogeneity among credit sources.

A multistage sampling technique was used to collect data from 588 randomly sampled rice farmers in seven rice areas of the country. The authors use the endogenous stochastic frontier production (ESFP) model to account for the endogeneity of access to agricultural credit.

On the one hand, agricultural credit has a significant and positive impact on rice farmers' TE. Rice farmers receiving agricultural credit have an average of 5% increase in their TE, confirming the positive impact of agricultural credit on TE. On the other hand, the study provides evidence that the impact of credit on rice production efficiency differs depending on the source of credit. Borrowing from agricultural cooperatives and paddy rice buyers/processors positively and significantly influences the TE, while borrowing from microfinance institutions (MFIs) negatively and significantly influences the TE. Moreover, borrowing from relatives/friends does not significantly influence TE.

Future research can further explore the contribution of agricultural credit by including several agricultural productions and using panel data.

The study provides evidence that the impact of agricultural credit on agricultural production efficiency depends on the source of credit. This study contributes to the literature on the impact of agricultural credit and enlightens policymakers in the design of agricultural credit models in developing countries, particularly Côte d'Ivoire.

Ensuring adequate access to food to all has remained a major challenge of the 21^st century. To aid the effort of hunger alleviation, many studies have quantified the prevalence of undernourishment (PoU), mostly at the national level. There has been limited attention to understanding the intra-country variation in undernourishment estimates.

Unlike past studies, this study tracks the substantial regional heterogeneity in the undernourishment status within Nepal. Employing Food and Agriculture Organization's methodology and Nepal Living Standards Survey data from 1995, 2003 and 2011, household energy consumption and requirements are computed to determine regional undernourishment.

Nepal's PoU declined between 1995 and 2003 but increased after 2003 affecting approximately 7.6 million Nepalese in 2011. The Terai domain – Provinces 2 and 5 – are found to be the most vulnerable to undernourishment concerns likely because of economic and natural shocks. Province 4 achieved higher progress in alleviating undernourishment during 2003, but its PoU doubled in 2011 (as in Province 6).

By examining where and how many are undernourished within Nepal, this study has provided a more accurate picture of the PoU for better-targeting assistance to improve the livelihood of its citizens.

Past studies indicate substantial variation in food access and PoU within Nepal. While they provide some answers to “where and how many” questions for some districts, provinces, belts and urban/rural domains at the cross-sectional level (or for selected locales), few have examined intra-Nepal heterogeneity, especially over time. Therefore, this study explores where and how many within Nepal have been undernourished during the past three decades.

Ghana's economy is largely agrarian, and the business of agriculture is dominated by smallholder farmers who are predominantly rural dwellers. As a result, efforts to lift rural farming households from poverty have been narrowed to the promotion of agricultural development to the neglect of the rural non-farm sector. However, this is fast changing in the advent of a burgeoning rural nonfarm economy and must engage the attention of policy actors. This study thus assesses the effect of non-farm participation on households' level of commercialization of agricultural crops in Ghana.

The study applies a generalized structural equation model (GSEM) to the Ghana Living Standards Survey round 6 dataset, a stratified and nationally representative random sample of 16,772 households in 1,200 enumeration areas.

This study finds that non-farm participation increases the produce sold to output ratio. It is concluded that non-farm engagement by farmers boosts commercialization in Ghana. Thus, for the Ghanaian and similar contexts, agricultural development interventions that incorporate non-farm activities are more likely to be successful in improving livelihoods.

The study uses only the ratio of sales value to output value definition for commercialization and acknowledges use of multiple definitions could be superior.

Various empirical studies have examined the link between the farm and nonfarm sectors. This paper is original in its approach as it tackles an aspect of the subject that has been understudied, namely, an exploration of nonfarm and farm linkages from the perspective of agricultural commercialization.

Available studies on anticorruption practices in the construction industry are exploratory with a very limited theoretical basis. This paper aims to provide a solid theoretical foundation to examine situational factors that influence the corruption intentions of individuals and organizations in the construction industry.

This paper conducts a systematic literature review to synthesize construction management literature that suggests anticorruption practices. The identified practices are then examined using two theoretical frameworks: the fraud diamond theory and Lange’s corruption control framework.

The results of this research demonstrate how the four elements of the fraud diamond theory may trigger corrupt behavior in construction projects. The results also highlight conceptual distinctions among different means of corruption controls based on Lange’s corruption control framework. In addition, the findings of this research suggest that anticorruption practices should address (1) the incentives to act corruptly, (2) the normative means of corruption control, (3) the internal means of preventing corruption and (4) the shift in organizational culture.

This paper departs from prior research on corruption in construction projects by (1) identifying a large spectrum of anticorruption practices, (2) presenting a detailed theoretical interpretation of these practices and (3) viewing anticorruption practices as multidimensional constructs, which, in turn, leads to novel ways of examining these practices in construction projects.

The main objectives of the current study are to assess the existing situation of historical city centers in Iran and to offer prioritized appropriate regeneration strategies for their sustainable development.

The study is based on a questionnaire-based survey in four historical city centers of Iran: Kashan, Naeen, Ardakan and Yazd. The required data have been collected using multiple tools including questionnaires and interviews with local residents and officials in the aforementioned case studies. Using the strengths, weaknesses, opportunities and threats (SWOT) technique, a set of appropriate strategies for the sustainable regeneration of these valuable fabrics has been proposed and the best of them have been prioritized employing quantitative strategic planning matrix (QSPM) matrix.

The results show that the current situation in all the case studies is not in line with sustainability and cultural heritage protection. Their multiple problems are mostly associated with their weaknesses, whilst their strengths, including a considerable potential as a tourism attraction, are scarcely exploited. The experts and residents surveyed for this research have provided basic information to establish the conservative strategies that should take priority when preparing the urban regeneration process of these areas.

Since most of the adopted regeneration strategies in Iran are not supported by empirical studies, the current study largely fulfills this shortcoming by setting up a proper diagnosis of historical city centers in Iran and proposes the most appropriate regeneration strategies based on the findings.

Consequence prediction is an emerging topic in safety management concerning the severity outcome of accidents. In practical applications, it is usually implemented through supervised learning methods; however, the evaluation of classification results remains a challenge. The previous studies mostly adopted simplex evaluation based on empirical and quantitative assessment strategies. This paper aims to shed new light on the comprehensive evaluation and comparison of diverse classification methods through visualization, clustering and ranking techniques.

An empirical study is conducted using 9 state-of-the-art classification methods on a real-world data set of 653 construction accidents in China for predicting the consequence with respect to 39 carefully featured factors and accident type. The proposed comprehensive evaluation enriches the interpretation of classification results from different perspectives. Furthermore, the critical factors leading to severe construction accidents are identified by analyzing the coefficients of a logistic regression model.

This paper identifies the critical factors that significantly influence the consequence of construction accidents, which include accident type (particularly collapse), improper accident reporting and handling (E21), inadequate supervision engineers (O41), no special safety department (O11), delayed or low-quality drawings (T11), unqualified contractor (C21), schedule pressure (C11), multi-level subcontracting (C22), lacking safety examination (S22), improper operation of mechanical equipment (R11) and improper construction procedure arrangement (T21). The prediction models and findings of critical factors help make safety intervention measures in a targeted way and enhance the experience of safety professionals in the construction industry.

The empirical study using some well-known classification methods for forecasting the consequences of construction accidents provides some evidence for the comprehensive evaluation of multiple classifiers. These techniques can be used jointly with other evaluation approaches for a comprehensive understanding of the classification algorithms. Despite the limitation of specific methods used in the study, the presented methodology can be configured with other classification methods and performance metrics and even applied to other decision-making problems such as clustering.

This study sheds new light on the comprehensive comparison and evaluation of classification results through visualization, clustering and ranking techniques using an empirical study of consequence prediction of construction accidents. The relevance of construction accident type is discussed with the severity of accidents. The critical factors influencing the accident consequence are identified for the sake of taking prevention measures for risk reduction. The proposed method can be applied to other decision-making tasks where the evaluation is involved as an important component.

This study aims to empirically validate the holistic consumer-based brand equity (CBBE) framework and establishment of the cross-over effect using consumer preferences for wine “regions.”

The authors utilize a sample of 275 regular wine purchasers in Australia, who were aged above 30 years old and had consumed regional wine in the last 3 months through an online consumer panel survey.

By testing competing CBBE models, the main research model was found to have the greatest predictive ability, due to its inclusion of both the rational and emotional paths and the cross-over effect between consumer brand judgment and brand feeling. This paper indicates that consumers enhance brand equity and develop a strong ongoing relationship with regional wine brands by simultaneously engaging in both mental behavior paths, where, in the meantime, rational processing has a cross-over effect on emotional processing.

This study expands the brand management literature by answering the future research on the CBBE model identified by Hall et al. (2021). Moreover, it establishes the underexplored cross-over effect within the CBBE literature. Furthermore, it adds to the marketing and wine-marketing literature by extending the concept of the brand to other attributes in consumer choice, such as a wine region as outlined by Giacomarra et al. (2020). Thus, this study advances the existing branding knowledge in a practical sense, which enables regional wine marketers and wine retailers to undertake promotional and product development strategies accordingly.