Search results

Studies showed that a proactive delivery system employing innovative artificial intelligence (AI) in urban services might perform better. This has become an important national policy for many countries. Thus, this study aims to explore the influence of AI in urban services in Malaysia.

Official documents such as Structure Plan and Government Transformation Programme Policy Document covering various levels of cities in Malaysia, articles related to urban studies mostly written by researchers regarding urban growth in Malaysia and the Urban Development Bulletin from the Federal Department of Town and Country Planning from 1957 to date were reviewed and analysed.

The findings show that the influence of AI in urban services has long existed and been carefully planned by local authorities since colonial times. The development of global digital technology influences the upgrading of AI in urban services in Malaysia. Also, the success of AI in these municipal services is influenced by the rate of information technology literacy among the urban population. These developments have led to the definition of a conceptual city.

This paper's findings and conclusion were based on reviewed literature but did not compromise the strength of this paper. Thus, as part of the implications for future research, mixed-methods research design has been suggested.

As part of the implications, this article intends to promote AI in urban services in Malaysia and other developing countries with similar urban services challenges.

This paper encourages AI applications in urban services because it enhances service delivery performance. This intends to key stakeholders to promote AI via policies across Malaysia's urban services as part of the study implications.

This article explores the potential of an emerging group of farmers in Kenya, namely the growing segment of urban-based medium-size farmers, often called “telephone farmers”. To what extent do they benefit from an emerging ecosystem to support them in operating their farms, and what does that mean for the Hidden middle of agricultural value chains, the actors between the farmers and consumers? Unlocking the potential production of telephone farmers will require more services from collectors, traders, transport firms, the storage facilities, wholesalers and processing units and retailers. Ultimately, optimized telephone farm production benefits the business of Hidden middle value chain actors, increases incomes and jobs and improves food security.

Based on a survey and in-depth interviews a profile of the telephone farmers is given and their role as innovators is analyzed. The Latia Resource Centre (LRC) provides assistance to medium-size farmers, like the telephone farmers, helping them to prepare business plans and use modern technology and contributing to an emerging ecosystem providing support to all farmers.

The article analyzes the medium-size telephone farmers. It documents the contributions of this new agricultural actor to developing value chains and a dynamic ecosystem. The paper profiles the telephone farmers first and then identifies what they need and the support they receive. The emerging innovative ecosystem impacts agricultural productivity and production and hence the development of value chains. Small farmers gain access to opportunities offered by telephone farmers, working for them as outgrower or farm worker.

The authors used a small sample of 51 farmers and covered only a two-year period.

Small farmers are being helped through the emerging eco-system and farm labor acquire skills, which they can also you on another or their own farm.

Based on the analysis an even more effective ecosystem is suggested and policy recommendations are formulated before the conclusion is drawn that these medium-size farmers contribute to innovation diffusion, inclusive value chain development and food security and are becoming part of this expanding, innovative ecosystem. Following the debate on food security the results suggest to pay more attention to the development of telephone farmers given their role in developing agricultural value chains and innovative ecosystems.

Complaint service management, aimed at improving customer satisfaction, provides important content for incorporation into studying a closed-loop supply chain. An analysis of the relationship between two provides the basis for probing the role of complaint management (CM) in the closed-loop supply chain to help it perform more efficiently and effectively through the application of advanced technologies. This paper considers how CM can be computed combining computer communication and information technologies. This computing process involves collection, evaluation and disposal. Using computer telephone integration technology, an integrated multi-channel system is designed; complaint and production evaluated through an intelligent decision support system; and CM processing system established to implement corresponding disposal which reflects the utility of CM. This research on the process of incorporating CM into our studies has significance for computing business service in the future. Based on exergoeconomics theory, the closed-loop supply chain is discussed, and the metric about “system negative environment effect” is introduced to system performance in terms of energy expenditures; a case study illustrates the efficacy of the process

This chapter deals with the perception of (sensed) discrimination and the coping strategies of Russian-speaking female scholars in Germany and applies an intersectional approach between culture, migration, gender and social background. Based on telephone interviews, the study aims to contribute to the discussion on discrimination in research environments and individuals’ professional integration by exploring narratives of migration and work in 13 women who migrated from the former Soviet Union (FSU) to Germany from 1990s to 2010s. Based on the findings, the author derives implications for policy and practice, such as a recommendation to implement introductory conversations with newcomers to reduce culture clash in competitive work contexts.

The aim of this article is to describe Huawei's internationalization process in Venezuela and show how socio-political and economic conditions helped to expedite the company's development in this Latin American nation between 2006 and 2019. Through this internationalization process, Huawei participated in a large technological transition in Venezuelan telecommunications.

This research uses an integrative approach, developing a quasi-case study from a review of the academic literature, contemporary news stories and institutional and practitioner documents.

The review indicates that Huawei was engaged in business with the Venezuelan phone company before its renationalization. Secondly, Huawei's internationalization was a beneficiary of the increased relations between the Venezuelan and Chinese governments, mainly through “oil for loans/goods” agreements. Lastly, this internationalization process includes wholly owned subsidiaries, direct export, greenfield and government joint ventures.

This research provides an understanding to other firms and strategists about the benefits of strong bilateral economic relationships between home and host countries.

This paper is among the first academic articles that describe the internationalization process of Huawei in Venezuela. Considering the host country's changing political and economic conditions during the last 20 years, such research may provide a perspective for considering other Chinese business expansions in Venezuela and Latin America.

The purpose of this study was to examine the relationships between gender ideologies and the motivation to mitigate climate change among a sample (N = 663) representative of the Taiwanese population, taking into account the different aspects of gender ideology measures and the multidimensionality of gender ideologies.

A landline-based telephone survey in Taiwan was used to collect research data. Pearson correlations were used to determine the associations between gender ideologies and motivation to mitigate climate change, and multiple regression analysis was performed to determine whether gender ideology measures were predictors for motivation to mitigate climate change.

The results suggested that the relationships between gender ideologies and mitigation motivation are complex, and that both traditional and egalitarian views of gender ideologies, measured using different scales, are positively associated with motivation. The dynamics of relationships among subgroups divided by gender and marital status need to be considered, as the relationships between gender ideologies and motivation are salient for unmarried individuals as well as married females.

The findings support the premise that gender ideologies play an essential and complex role in individual climate change mitigation behaviors.

This is the first study that systematically examined the relationships between gender ideologies and motivation to mitigate climate change.

With the crescent globalisation together with economic and food crisis, consumers are increasingly confronted with food products from different origins and appeals to consume “national”. If many food products can be related to a specific region or country, many are sold as commodities with Portuguese origin indication. One factor influencing the purchase behaviour of domestic food products is the consumer ethnocentrism (CE) characteristic. The aim of this paper is to study consumers' purchase behaviour intention towards “produce in Portugal” fruits and vegetables applying a CE extended model of the theory of planned behaviour (TPB).

A questionnaire was presented to random sample of 700 individuals older than 18 and responsible for the household food purchase by computer-assisted telephone interview (CAT) system. Structural equation modelling (SEM) was conducted to examine direct and indirect effects of attitude (ATT), subjective norms (SuBNs), perceived behavioural controls (PBCNTRLs), intention and self-congruity on domestic fresh fruits and vegetables purchases.

Findings suggest that TPB model is applicable in determining the consumers' intention to buy domestic fruits and vegetables in Portugal. CE has been shown to successfully influence purchase intention.

This study provides the food industry and retail with informative basis about which mechanisms underlie the consumers' intention to buy domestic food. Also, this study provides useful insight into how different food categories and label affect the consumers' intentions, which can serve for communication strategies in order to increase purchase of domestic products as fruits and vegetables. New food categories should be studied.

This study gives a new approach on Portuguese consumer ethnocentric tendencies and opens a discussion on consumer purchase intention on Portuguese low value food products. This gives a first insight on Portuguese consumer ethnocentric behaviour.

Precise vehicle localization is a basic and critical technique for various intelligent transportation system (ITS) applications. It also needs to adapt to the complex road environments in real-time. The global positioning system and the strap-down inertial navigation system are two common techniques in the field of vehicle localization. However, the localization accuracy, reliability and real-time performance of these two techniques can not satisfy the requirement of some critical ITS applications such as collision avoiding, vision enhancement and automatic parking. Aiming at the problems above, this paper aims to propose a precise vehicle ego-localization method based on image matching.

This study included three steps, Step 1, extraction of feature points. After getting the image, the local features in the pavement images were extracted using an improved speeded up robust features algorithm. Step 2, eliminate mismatch points. Using a random sample consensus algorithm to eliminate mismatched points of road image and make match point pairs more robust. Step 3, matching of feature points and trajectory generation.

Through the matching and validation of the extracted local feature points, the relative translation and rotation offsets between two consecutive pavement images were calculated, eventually, the trajectory of the vehicle was generated.

The experimental results show that the studied algorithm has an accuracy at decimeter-level and it fully meets the demand of the lane-level positioning in some critical ITS applications.