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Many research findings depicted corporate social responsibility (CSR) as a strategic tool for influencing customer behavior, especially customer trust. Nevertheless, rare is research that considered a business ecosystem infested by a low level of cultural trust, political and economic problems, perceived corruption and low level of CSR awareness and engagement as obstacles that may prevent companies from influencing their customers’ behavior. Therefore, this study aims to evaluate whether CSR activities positively influence consumer/user trust toward companies operating within a low-cultural-trust context and also the consistency of empirical finds on CSR regardless of the cultural context.

The model of this study consisted of four variables: perceptions of CSR, customer trust, service quality and customer satisfaction. The target sample constituted respondents belonging to six different occupational categories namely health-care services, media services, law and public security, agriculture and earth sciences, training and education services and administrative sciences. This study used a quantitative approach based on a paper–pencil questionnaire to collect the data.

The results of this study indicated that perceptions of CSR correlated positively with service quality, customer satisfaction and customer trust. The results also indicated that perceptions of CSR, service quality and customer satisfaction are good predictors of customer trust.

This study is significant because it was conducted in a developing country (Haiti) that has long been struggling with political instability, systemic corruption, serious environmental damages and continuous economic crises and inequality along with a low level of CSR engagement and awareness.

The purpose of this paper is to present a comparison between the traditional methods for the calculation of customer relationship performance and the modern metrics suggested by the current literature in business-to-business (B2B) markets using the Greek maritime shipping industry as an example.

The primary research was conducted in two phases: quantitative analysis of actual measurements and qualitative evaluation of the results. More specifically, in the first phase, the measures used were a collection of traditional and modern customer relationship management (CRM) metrics applied to actual historical data along with statistical data for actual customers of a company supplying services for maritime transportation of containers in the Greek international trade market. For the qualitative evaluation of these results, a semi-structured interview was carried out with seven “specialists/experts” in this business sector, who provided an assessment of the relative worth of each set of CRM measures.

The use of modern customer-centred metrics (Share and Size of Wallet, recency, frequency, monetary value) in the shipping sector of Greek industrial activity is the most profitable and efficient means of decision-making. The qualitative research showed that the customer-centred metrics were judged to be more effective and useful, as they provided a multi-dimensional and multi-layered picture of the current and future situation for the company and its customer base.

To ensure confidentiality of personal information, the research did not use, examine or evaluate the individualized data to preserve the anonymity of the survey sponsor and their specific customers.

This is the first study that examines the effectiveness of different types of CRM metrics in the B2B market, which has, until now, suffered a dearth of empirical studies in the field, especially in the context of national economies that face intense international trading problems and significant reductions in activity in their maritime shipping industry due to the economic recession.

While diaspora entrepreneurs remain important sources of capital and innovation, many developing countries are facing serious challenges to tap into these sources because of their weak institutional settings and the endemic and systemic corruption. To this end, this study explores how institutional reforms and control of corruption can influence diaspora entrepreneurship. This study also seeks to provide perspectives on how diaspora entrepreneurs can influence institutional reforms and market policies.

To meet these objectives, qualitative and interpretive research approaches were employed.

Using responses collected from Haitian diaspora entrepreneurs living in the USA, this paper highlights different attributes of institutional reforms and control of corruption that can influence diaspora entrepreneurship.

Based on these insights, this paper argues that Haitian diaspora entrepreneurs need to play a proactive role as policy entrepreneurs by supporting competent and well-intention political leaders to gain office and by joining forces with local actors to advocate for institutional reforms, market reforms and control of corruption in order to be able to exploit market opportunities. In this respect, further perspectives for diaspora entrepreneurship, limitations and consideration for future research are highlighted.

By collecting insights on institutional reform and diaspora entrepreneurship from diaspora entrepreneurs, this paper makes important contribution to the entrepreneurship literature.

Using the Analytical Hierarchy Process, this study aims to identify organizational and market factors that prevent hoteliers from adopting greener management systems. This study first constructs a list of critical factors based on expert judgments reported in the literature and the responses from a select group of experienced managers. Then, the list is further refined by six hotel managers who consolidate the factors, which results in four categories explained by 20 items. Subsequently, this study draws from surveys on an expert panel consisting of 20 study subjects who are familiar with hotel operations. The survey results show that hoteliers’ abilities to create a greener image are the most important factor influencing the managers’ decisions to adopt environmentally friendly management schemes. Nevertheless, their motivation of adopting a green strategy seems to be associated with a marketing strategy, instead of generic environmental stewardship.

George is the new president of a secondary hospital in Greece. As an intensive economic crisis has been occurring for many years, he has to make difficult decisions regarding how he can effectively reorganize the hospital. George is asked to investigate the current health environment and choose what changes he considers best.

The purpose of this study is to offer a roadmap for work on the ethical and societal implications of algorithms and AI. Based on an analysis of the social, technical and regulatory challenges posed by algorithmic systems in Korea, this work conducts socioecological evaluations of the governance of algorithmic transparency and accountability.

This paper analyzes algorithm design and development from critical socioecological angles: social, technological, cultural and industrial phenomena that represent the strategic interaction among people, technology and society, touching on sensitive issues of a legal, a cultural and an ethical nature.

Algorithm technologies are a part of a social ecosystem, and its development should be based on user interests and rights within a social and cultural milieu. An algorithm represents an interrelated, multilayered ecosystem of networks, protocols, applications, services, practices and users.

Value-sensitive algorithm design is proposed as a novel approach for designing algorithms. As algorithms have become a constitutive technology that shapes human life, it is essential to be aware of the value-ladenness of algorithm development. Human values and social issues can be reflected in an algorithm design.

The arguments in this study help ensure the legitimacy and effectiveness of algorithms. This study provides insight into the challenges and opportunities of algorithms through the lens of a socioecological analysis: political discourse, social dynamics and technological choices inherent in the development of algorithm-based ecology.