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Electric street car (ESC) is a globally popular clean and safe electric transport system for urban agglomeration. India envisions achieving “all-electric transport” by 2030, yet ESC as a modal transport alternative is not distinct in the policy discussion. The emerging market for electric transportation in urban spaces requires a detailed demand study at the service user level to remove behavioural barriers and design integrated energy planning in developing economies. This paper explores the probabilistic uptake intentions of the daily public transport commuters for ESCs over e-buses from the only Indian city with operational ESCs, Kolkata.

Using a random utility model on primary survey data from daily commuters, the authors identify demographic, psychometric and socio-economic factors influencing probabilistic uptake of ESC over e-buses.

It estimates that 38% of the commuters demand ESC over e-buses, given the alternatives' comparative details. Factors like frequent availability and technological upgradation would increase the uptake of ESCs.

The study highlights that even though there are infrastructural challenges in the implementation of ESC, so does any other electric transport system; it is worth considering as a decarbonising transport alternative, given the high up-take intension of the users.

This is the first attempt to study the demand for ESC in developing economies, identifying the factors which may be considered in the sustainable urban transportation policy perspective.

Although growing Internet penetration in the hinterlands has attracted agribusinesses to promote digital platforms, farmers are sceptical about using them. The literature discusses agricultural platforms from the theoretical perspective of technological determinism, where the platforms are developed and promoted by firms in a top-down manner to be accepted by farmers. However, this approach results in poorly configured platforms with limited utility for farmers. It is evident from the existing literature that the mere creation of a platform business is not sufficient to guarantee adoption by users. Hence, this study explores how to make the agricultural platform more attractive for farmers.

The present study is based on a discrete choice experiment performed on 126 Indian farmers using agricultural platforms. The data were analysed using the conditional logistic regression method.

The study suggests that farmers expect government and cooperative entities to be also embedded with the platforms. Complementary features such as prompt service, competitive pricing and farm credit were identified as essential attributes. Further, the platforms should enable smallholders to trade farm produce by providing a mechanism for real-time online nudging and bargaining with buyers.

The study is based on the applications of random utility theory. The research has utility for Agtech managers, cooperative institutions and agricultural policymakers.

This is one of the first studies focussing on agricultural platform design from the farmers' perspective. The study implies that incorporating preferred attributes can help practitioners configure platforms to benefit farmers with prospects concerning farm management decisions.

Farmers' risk attitudes and risk perceptions play an essential role in shaping risk management strategies to address risks and uncertainties. Contract farming is considered as one of the feasible approaches to tackle farmers' concerns. However, risk perspectives under various categories have not been included in studies on farmers' preferences for contract farming in the literature, especially in Vietnam. This study aims to determine factors affecting farmers' choices of different contract farming practices.

The explanatory factor analysis (EFA) and multinomial logit model (MNL) were applied to explore the impacts of risk perspectives on farmers' preferences for contract farming. Data have been collected from 211 rice farmers in An Giang Province, “the rice bowl” of the Mekong Delta, Vietnam.

The study found that farm size, cooperatives, extension, market access and trust have significantly impacted on contract participation while a delay payment was a barrier for farmers' motivation to opt for the contract. Farmers' contract choices were also influenced by their risk attitudes and perceptions under different risk dimensions. The financial, policy and human risk-averse behavior predisposed farmers to single out the full contract while the policy and human risk-loving and production, market and finance risk-averse respondents were in favor of the marketing contract. Moreover, the findings indicated that the more farmers concerned about risk of weather and market, the more choices for the full contract, whereas the risk perceptions of weather and policy encouraged farmers to use the limited contract. By contrast, farmers who perceived the impacts of risk of diseases/pests and human were likely to adopt the marketing contract.

This study just focuses on collecting data from farmers’ perspective. Future studies involving stakeholders such as enterprises and policy makers are strongly recommended so as to design suitable contracts and enforce contract schemes effectively in Vietnam.

The findings also contribute to the literature on different types of contracts and the multidimensional aspect of risk for rice production in Vietnam.

The authors propose a dairy bundle, integrating strategies to jointly maximise producer revenue and consumer utility according to the latter's preferences.

An algorithm based on a nested logit model identifies the bundle maximising producer revenue based on factors affecting consumer purchase behaviour. The data are drawn from a mall-intercept survey administered in Iran, with consumers stating a hypothetical choice among a comprehensive set of dairy products.

Demographic characteristics and marketing mix elements significantly affect consumers' preferences. An algorithm based on the estimated dissimilarity parameter determines the best bundle of dairy products, simultaneously obtaining the highest utility and the highest expected revenue.

Consumer preference and maximum producer or retail seller income are considered simultaneously. The bundling promotion strategy is widely used for food offerings and fresh foods and can be extended to other products.

我們擬根據消費者偏好，提出一個整合了多個策略的捆綁包，以使生產製作者得到最高的收入和最佳的消費者效用。

研究人員根據巢式Logit 模型的演算法確認了一個捆綁包，以使生產製作者能得到最高的收入，而這均建基於會影響消費者購買行為的各個因素。有關的數據取自於伊朗的商場內進行的攔截調查，而回應的消費者須假想他們從一整套乳製品中選擇他們會購買的產品。

研究結果顯示，人口特徵和市場營銷組合元素均會顯著地影響消費者的偏好，一個基於估算的相異性參數而建立的演算法可確認最佳的乳製品捆綁包，這演算法同時也可取得最佳的裨益和最高的預期收入。

於本研究中，研究人員同時考慮消費者的偏好和生產製作者或零售賣家的最高收入。捆綁式的促銷策略在食物供品和新鮮食品方面被廣泛使用，這策略可擴展至其他產品。

乳製品捆綁包、消費者偏好、最佳化演算法、巢式Logit 模型.

This paper aims to uncover patterns of Mexican craft beer consumers and guide companies’ decisions in the creation of new products, marketing strategies, advertising and promotion to increase craft beer sales and contribute to faster growth.

This is a conjoint analysis with a selection of attributes for new or renewed products, marginal disposition to pay for particular characteristics through brand-specific choice-based design, and market simulation.

This paper clearly demonstrates consumers’ preferences and willingness to pay in Mexico, with a cutting-edge market research technique combining the prioritization of preferred craft beer characteristics, and the price consumers are willing to pay for such product characteristics.

The study's sample size of 501 responses is relatively small compared to the total number of craft beer consumers in Mexico. To enhance the validity and reliability of the findings, future studies should aim to obtain larger samples and compare their results with those of this study.

This study has important implications for craft beer producers, allowing them to develop targeted craft beers with appealing attributes for Mexican consumers, such as color, aroma intensity, alcohol degree intensity, bitterness, foam level and price.

This study's market forecasting simulation technique is based on assumptions of consumer behavior and market dynamics. Although relevant variables were considered, unanticipated external factors or market changes could impact the forecasts' accuracy. This will allow for a more comprehensive understanding of craft beer consumer preferences in different markets and enhance the reliability of forecasting techniques.

This paper informs craft beer producers by providing valuable knowledge on customers’ preferences and willingness to pay to enhance craft beer companies’ product development processes.

Maize and rice constitute the two major staple crops in Ghana. The demand for maize and rice outstrips production levels in Ghana, creating deficits for farmers to capitalize on to increase yield. Farmers procure certified seeds from different supply outlets to improve crop yield. This study assessed the effectiveness of supply outlets of certified maize and rice seeds. This study also examined factors that influence smallholder farmers' decisions in sourcing seed from the identified supply outlets.

Multi-stage sampling was used to collect data from smallholder farmers. A total of 360 farmers were interviewed for the analysis. The multivariate probit model was used to estimate the main drivers of the supply outlets of certified seeds.

The findings revealed that farmers' decisions to use certified seeds from a particular supply outlet are contingent on household size, years of farming, extension contacts, distance to the nearest market, distance to the district capital, access to credit and farm size.

Sourcing certified seeds from National Seed Traders Association of Ghana, Research Institutions and Ministry of Food and Agriculture is more effective than input dealers, open market and family and friends.

This study is one of its kind that looked at how effective are the supply outlets of certified seed purchasing outlets.

This paper argues that through information and communication technology (ICT) adoption, the youth will be engaged in all nodes of the agricultural value chains, thereby improving the level of employment and reducing post-harvest losses. The study examines the determinants of ICT adoption among the youth. In addition, it estimates the impact of ICT adoption on youth employment in agriculture towards the actualisation of the Sustainable Development Goals (SDGs), particularly SDG-8, to promote inclusive and sustainable economic growth, productive employment and decent work for all.

The study engages data from Wave 4 (2018/2019) of the Living Standards Measurement Study – Integrated Surveys on Agriculture (LSMS-ISA). The logit regression, the propensity score matching and the inverse probability weighted regression adjustment are used as the estimation techniques.

The study underscores that educational level, access to electricity, location, age and income are significant determinants of ICT adoption among the youth. The findings also show that the youth's average weekly engagement in agricultural activities is about 24 h. In addition, the result reveals that ICT adoption can increase youth agricultural employment by approximately 21%. The mean difference indicates that those with access to ICT participate in agricultural activities more than their counterparts without ICT access by 29.46%.

One of the limitations of the study is that some of the variables such as insecurity, social protection/safety nets, that may have a significant influence on youth agricultural participation where not included in the model due to data constraint. As a recommendation for further studies, given data availability, such variables should be considered when examining youth-agricultural employment nexus.

Since ICT adoption has a significant impact on agricultural employment, this study proposes improved infrastructure facilities such as reliable power supply, lowering the cost of mobile and data subscriptions and better education facilities should be prioritised at all localities. This will enable the youth to embrace agriculture and help improve their socioeconomic welfare and livelihood.

Using Wave 4 of the LSMS-ISA, logit regression, propensity score matching and the inverse probability weighted regression adjustment, makes this study one of the very few to examine the impact of ICT adoption on agricultural employment among the youth in Nigeria. It implies that this study has provided empirical evidence and expanded the frontiers of knowledge on the extent to which ICT adoption influences youth agricultural employment in Nigeria.

This study investigated consumers’ willingness to pay (WTP) for a local, organic chicken breed “Taphao Thong-Kasetsart” and the drivers that shape consumers’ WTP across different meat preferences in Thailand.

Face-to-face interviewing was used to collect data at food-service outlets in Bangkok and Nakhon Pathom provinces, Thailand. Data analysis used the double-bounded dichotomous choice model across different consumers’ meat preferences for preferred chicken and non-preferred chicken consumers.

The results showed that there were different WTP amounts for local organic chicken across consumers’ meat preferences, with a higher WTP among non-preferred chicken consumers. This indicated that local organic chicken may attract more consumers in the alternative market. Consumers’ values and attitudes to taste drove chicken-preferred consumers to pay a premium for local organic chicken; health concerns mattered for non-preferred chicken consumers. These findings should provide useful information for food marketing campaigns based on consumers’ preferences.

The study contributed to understanding consumer heterogeneous preferences toward WTP for local organic chicken. The findings indicated that analyzing WTP across different meat preferences highlighted more effective marketing strategies to achieve the premium that consumers would pay. These strategies could help farmers to enlarge their local organic market share, leading to increased revenue and farmers’ well-being.

This study aims to examine the moderator effect of religiosity on the relationship between halal brand awareness and habit towards purchasing decisions of halal products.

The quantitative method is used in this study. Descriptive and statistical (multiple and moderated regression) analyses are employed to test the hypothesis according to the research model. The data is collected using a cross-sectional design from 197 respondents consisting of business owners in North Sumatera, Indonesia.

It is found that both halal brand awareness and habit have a positive and significant effect on the purchasing decision of halal products. Meanwhile, religiosity significantly acts as a moderating variable in the relationship between awareness and purchasing decisions, as well as habit and purchasing decisions.

This study revealed the important factor of religiosity as a moderating factor in purchase decisions of halal products. The government may need to collaborate with Islamic educational institutions to raise awareness of the halal concept and product awareness. It is assumed that individuals who know about the Islamic religion will have a higher degree of awareness of halal products compared to individuals with limited knowledge of Islam; thus, providers of Islamic education play a crucial role in raising the level of awareness of halal products. Schools may serve as catalysts for the dissemination of knowledge of halal products.

Developing halal product markets can be done by enhancing the religiosity level of consumers, one of them through attending formal or informal religious classes.

The construction industry is facing an enormous number of challenges due to continuous advancements in construction technologies and techniques. Hence, construction management theories have to confront critical newly issues concerning market globalization and construction innovations. The key factor to address these challenges is to ameliorate the competitive abilities of the competing construction firms. In this context, measuring competitiveness of construction firms is an efficacious approach to amplify their competitive growth and profitability. To this end, the purpose of this research paper is to design a three-tier multi-criteria decision making model for competitiveness assessment and benchmarking of construction companies, meanwhile tackling a wide range of essential factors and attributes that covers broad aspects of the present competitive market.

In the first tier, four new pillars (4P) of competitiveness assessment are introduced for construction firms, namely, organization performance, project performance, environment and client and innovation and development. These pillars are able to aid in construction firms’ management on both long and short term basis. Hence, 21 key competitive factors and eighty key competitive criteria are identified, incorporated and analyzed in this research study. The second tier encapsulates carrying out a questionnaire survey in the Canadian and Vietnamese market to garner two main sets of information. The first set of information incorporates responses of the pairwise comparisons between competitiveness factors and criteria. The second set involves gathering utility scores pertinent to each competitiveness criteria. The developed model then leverages the use of analytical hierarchy process to scrutinize the relative importance priorities of competitiveness factors and criteria. The third tier of the developed model encompasses the use of multi-attribute utility theory to compute competitiveness scores for construction companies through blending criteria’ relative importance weights alongside their respective utility functions. In addition, the third tier comprises conducting a sensitivity analysis to derive the most important criteria influencing the overall competitiveness of construction companies. The developed model is tested and validated using three case studies; one construction company from Canada and two construction companies from Vietnam.

Results demonstrated that the developed model has a potential to render a synthesized and methodical performance evaluation for the competitive ability of a given construction company. Furthermore, it was found that Vietnamese companies are more considerate towards pillars pertaining to environment and client while Canadian companies are more attentive towards innovation and development. The outcome of sensitivity analysis revealed that effectiveness of cost management highly affects the competitive ability of Vietnamese companies while effectiveness of cost management exhibits the most significant influence on the competitive of Canadian companies.

The developed model can benefit construction companies to understand their competitiveness in their market and diagnose their strengths and weaknesses. It is also can be useful in efficient utilization of their limited resources and development of sustainable and long-term strategic plans strategic plans, which consequently leads to maintaining better position in their dynamic business markets.

Literature review manifests that reported competitiveness assessment models and practices are not able to address present challenges, technologies and developments in construction market.