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This paper aims to analyze the impacts of distinct advertising appeals on brand attitudes and purchase intentions toward green brands across two different product categories (technology-intensive and technology non-intensive) among the young adult consumers.

On the basis of focus group discussion, recyclable shopping bags (technology non-intensive) and hybrid cars (technology intensive) were identified as two product categories for the final study. A total of eight advertisement copies were developed (three in each product class + two control group ads) and distributed across 240 young consumers. A 4 (three advertising appeals + one control group) × 2 (product classes) between group experimental design was used to test the hypotheses formulated.

The study findings show that all the three advertisement appeals significantly influence attitudes and purchase intentions toward green brands across both the product categories. However, it was also found that functional appeal generated significantly lower mean scores for brand attitude and purchase intention for recyclable shopping bags compared to hybrid cars, whereas emotional appeal generated significantly lower mean scores for brand attitude, as well as purchase intention for hybrid cars compared to bags. This implies that functional green ad appeal would be more effective for technology-intensive products and emotional green ad appeal would be more effective for technology non-intensive products. Self-expressive green ad appeal was found to be equally effective in impacting brand attitudes and purchase intentions across both product categories.

The value of this research lies in investigating how the effects of distinct green brand advertising appeals on brand attitude and purchase intention can vary across technology-intensive and technology non-intensive products.

The purpose of this study is to examine the effects of mobile Internet adoption on technology adoption extensity.

This study uses cross-sectional data collected in 2018 from 932 smallholder litchi farmers in Guangdong Province and Guangxi Province in southern China. A Poisson regression with endogenous treatment effects (ETPR) model is applied to estimate the effects of mobile Internet adoption on technology adoption extensity.

The ETPR model results indicate that mobile Internet adoption can significantly enhance technology adoption extensity. In addition, the extensity of technology adoption is also determined by education level, training, share of litchi farming income, guidebook use and cooperative membership. Disaggregated analyses further confirm the positive impact of mobile Internet adoption on the number of capital- and labor-intensive technologies adopted.

This study contributes to the literature on agricultural technology adoption. The findings highlight the need to facilitate modern agricultural technology penetration by promoting the use of mobile Internet technologies.

The purpose of this paper is to draw attention to the significant lower completion rate of mergers and acquisitions (M&As) by firms from emerging economies (EEs) (China in particular) compared with firms from advanced economies, and identify the country- and industry-level factors that affect the completion of cross-border M&As by Chinese firms.

This study explores the effects of economic, cultural and institutional distances and target firms in technology- and knowledge-intensive industries on the completion of cross-border M&As by Chinese firms. It also examines the interplay between distance factors and technology- and knowledge-intensive industries on cross-border M&A completion. This study adopts a quantitative approach and is based on a sample of 768 announced cross-border M&A deals by firms in China between 2000 and 2015.

The results indicate that economic distance increases the likelihood of the completion of cross-border M&As when the target is in a more developed economy than China, but decreases when the target is in a less developed economy. Cultural and institutional distances have a significant, negative impact on the completion of cross-border M&As. In addition, target technology-intensive industries have a significant direct negative effect on cross-border M&A completion and moderate the relationship between the distance factors and the likelihood of cross-border M&A completion.

The results reveal factors that affect the completion of cross-border M&As by emerging market firms (EMFs). Further research, however, is needed to discover how distance factors affect how EMFs find, evaluate and negotiate international bids. To broaden the scope of the research, data for firms from other EEs would also be required.

The study expands the literature that considers the effects of major distances on cross-border M&A completion. In addition, the importance of defining and measuring distances in the context of cross-border M&As is highlighted. Finally, the study expands knowledge on how cross-border M&As affect the internationalization strategies of EMFs by conceptualizing and testing how target industries affect cross-border M&A completion.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The purpose of this paper is to examine why retailers' perceptions of the value of a novel technology‐intensive mobile advertising service differ.

The research design follows an abductive approach. The empirical data were gathered through a field experiment by interviewing retailers who used a mobile advertising service for the first time.

This study suggests a categorisation of customer‐perceived value sub‐elements in a novel technology‐intensive business‐to‐business (b‐to‐b) service consisting of two outcome‐level benefits, three process‐level benefits, and two types of sacrifices, i.e. monetary and non‐monetary. Furthermore, the study suggests that the value elements are not of equal importance. Different retailers value different threshold benefits that influence their willingness to use the service. Moreover, the retailers' participation in value co‐creation with a service provider influences the value perceived from the service.

This experimental empirical setting involves two limitations. The trial period was relatively short and, due to the development stage of the service, the use of the service was offered free of charge. Therefore, future research should be conducted with commercialised novel technology services.

Retailers differ according to their willingness and ability to use novel technology‐intensive services, which also reflects how they perceive value and what kind of value they perceive. Thus, mobile service providers need to consider offering different service packages to different types of customers. Service providers also need to ensure that retailers are aware of all the commercial and non‐commercial benefits of the novel service. Retailers should realise that the commercial potential of mobile advertising is different from the traditional means of advertising.

For a research audience, the study extends the existing research on value creation by focusing on retailers' different value perceptions of a novel technology‐intensive b‐to‐b service. For developers of an innovative technology‐intensive service, the study shows the different customer types and how they influence buying decisions.

This paper investigates the dynamic patterns of Vietnam’s comparative advantage in the context of ASEAN. Using the Galtonian regression method and the Markov transition probability matrices for data from 1997 to 2008, we find the following: Firstly, commodity groups with a weak comparative advantage improved their competitiveness, whereas those groups with a strong comparative advantage saw it decline, indicating a convergence of their comparative advantages. Secondly, in terms of intra-distribution dynamics, industries with no initial comparative advantage (Class a) and those with a strong initial comparative advantage (Class d) showed a high degree of persistence, suggesting a low degree of mobility in the trade patterns for Classes a and d. Thirdly, mineral resource-intensive products showed a high degree of export specialization, whereas other product categories showed a high degree of export diversification. Fourthly, all commodity groups showed a downward trend in the degree of specialization. Finally, Vietnam’s exports were dominated by unskilled labor-intensive products and agricultural resource-intensive products, reflecting the validity of Heckscher-Ohlin model. As a result of the country’s trade liberalization, the patterns of Vietnam’s comparative advantage have come to reflect its factor endowment. These results suggest that Vietnam could better diversify its export structures and shift to exports based on human capital and technology by further liberalizing its trade policies, fostering human capital formation, and facilitating the transfer of technology.

The focus is on determining the long-term relationship in explaining how technological capabilities interact with trade and global value chain (GVC) participation to aid in the upgradation process using a panel auto-regressive distributed lag (ARDL) model. The results suggest that export of both low-skill and medium-skill technology-intensive manufactures and patents by residents positively and significantly impact GVC participation.

This paper examines the dynamic linkages between GVC participation and technological capability of major Asian countries in a comparative (1995–2018) perspective.

This implies that certain sectors enable greater integration into GVCs in the long-run, supported by critical learning variables. Further, with the help of the panel causality test, a bi-directional flow between GVC participation and export of high-technology manufactures and import of labour-intensive technology manufactures is witnessed. Even a one-way flow from research and development (R&D) intensity to GVC participation is seen.

The technological capabilities are found to be characterising the initial structure of local enterprises in trade and GVCs, as well as the extent to which emerging-market firms may harness knowledge flows and migrate into high-tech industries.

The extant new service development (NSD) literature tends to assume that the key practices for NSD identified in one context apply for all services, and has failed to sufficiently consider differences in NSD between service types. The purpose of this paper is to explore the nature of NSD across different service types.

An extensive, cross-sectoral survey was conducted in seven countries. Data from 1,333 NSD projects were analyzed to empirically derive a service typology and examine if and how different types of services vary in terms of NSD resources, practices, methods, and results.

Based on six service characteristics, the study identifies four service types: routine-intensive, technology-intensive, contact-intensive, and knowledge-intensive services. The study also identifies specific NSD resources, practices, methods, and results that are prevalent across the service typology. The evidence indicates that the use of advanced practices and methods differs dramatically between service types.

The paper enables practitioners to expand their current understanding on NSD by providing insights into the variability of NSD across service types. The results suggest that either service-type-specific models or a configurable model for NSD should be developed.

This study provides one of the first empirically derived service typologies for NSD. The study demonstrates that NSD resources, practices, methods, and results differ across service types, thereby challenging the “one size fits all” assumption evident in current NSD research.

Precision technologies have been available at the farm level for decades. Some technologies have been readily adopted, while the adoption of other technologies has been slower. The purpose of this study is to examine the factors influencing farmers' time-to-adoption decisions as duration between year of commercialization of precision agriculture (PA) technologies and year of adoption, at the farm level.

Time-to-adoption, which is the difference in years between technologies becoming commercially available and the year of adoption was determined using non-parametric duration analysis, and the impact of specific farm/farmer characteristics on time-to-adoption were estimated using a semi-parametric Cox proportional-hazard (CPH) model, based on a panel dataset of 316 Kansas farms from 2002 to 2018.

The findings indicate that, time-to-adoption for embodied-knowledge technologies such as automated guidance and section control were statistically shorter than for information-intensive technologies such as yield monitors, precision soil sampling and variable rate fertility. Duration was indirectly (directly) proportional to commercialization date of embodied-knowledge (information-intensive) technology. More so, time-to-adoption statistically differed among technologies within these two broad categories. Time-to-adoption varies across farm location and between both types of technologies. Millennial farmers are more likely to adopt both types of technologies sooner compared to baby boomers. Net farm income, percentage changes in debt-to-asset ratio, corn to total crop acres and machinery investment had no significant impact on the time-to-adoption for both information-intensive and embodied-knowledge technologies. On the other hand, while variations exist, time-to-adoption of PA technologies is mainly driven by location of farm, generation of farmer, number of workers, years of farming experience, total acres cropped and the cost of crop insurance.

This study investigates how the financial position of farms, amongst other important factors might influence time-to-adoption of PA technologies. Results are useful to extension personnel and retailers for planning marketing or farm outreach programs taking into consideration that, time-to-adoption differs across regions and by specific characteristics, key amongst them: generation of farmer, number of workers, years of farming experience, total acres cropped and the cost of crop insurance.

This paper aims to examine the effect of exports on women's employment rate for Turkish manufacturing firms over a recent period of 2003–2015.

The authors establish treatment models and use propensity score matching (PSM) techniques together with difference-in-difference methodology.

The results of the study indicate that starting to export increases women’s employment rate for manufacturing firms. Gains in female employment rates are observed for the firms operating in low and medium low technology intensive sectors, low-wage sectors as well as laborlabor-intensive goods exporting sectors.

The authors complement previous literature by utilizing a rich harmonized firm-level dataset that covers a large number of firms and a recent time period. The authors distinguish between several sub-samples of firms according to technology intensity of the sector in which they operate, wage level and factor intensity of exports and investigate whether or not women gain from trade in terms of employment opportunities.