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1 – 10 of over 1000Rila Anggraeni and Christin Susilowati
Many companies produce environmentally friendly goods and offer their products with varied attractive marketing mix strategies. One of the company's potential target markets is…
Abstract
Many companies produce environmentally friendly goods and offer their products with varied attractive marketing mix strategies. One of the company's potential target markets is millennials because the growing number of this community has become enormous. In terms of behavior, millennials have a high level of consumption compared to other generations. However, there are big questions about the willingness of millennials to consume green products. This study aims to acknowledge the green product buying behavior among millennials, especially premium green products. The variables expected to influence the millennial's willingness to pay premium include environmental concern, reference group, and pro-environmental attitude. Data collected through a survey of 250 respondents. The hypothesis framework was tested using PLS-SEM modeling to evaluate the measurement and structural models with the assistance of Warp PLS version 7.0. This study found that millennials who consider the importance of preserving the environment and have a reference group that solicitude to the environment will have a pro-environmental attitude and willing to buy the green product, even though it has a higher price. Green product's management can use the result to formulate an effective green marketing strategy to target the millennials. Regarding the need for millennials' environmental behavior clearer picture in a developing economy, the present study inflicts the literature by describing the antecedents of millennials' willingness to pay premium green products. The results also give practical implications by shedding light on millennials’ green behavior variables. It helps green entrepreneurs conceive their strategic marketing management, and thus can boost the green economy and economic growth.
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Diego Quer-Ramón, Enrique Claver-Cortés and Laura Rienda-García
Since the beginning of the 21st century, China’s outward foreign direct investment (OFDI) is growing steadily and Chinese multinationals (MNCs) are playing an increasingly…
Abstract
Purpose
Since the beginning of the 21st century, China’s outward foreign direct investment (OFDI) is growing steadily and Chinese multinationals (MNCs) are playing an increasingly important role in the global economy. Thus, the number of papers focusing on China’s OFDI and Chinese MNCs has been increasing during the last years. The aim of this chapter is to carry out a review of the empirical papers dealing with Chinese MNCs published between 2002 and 2012 in high-impact international business and management journals.
Design/methodology/approach
This chapter reviews 43 empirical papers focusing on Chinese MNCs that were published in nine major scholarly journals between 2002 and 2012.
Findings
We report individual and institutional contributions, the theories and methods used, the research topics, and the main findings. We also discuss implications for future research.
Originality/value
Some previous literature reviews have dealt with research on China’s OFDI and Chinese MNCs. Nevertheless, none of the earlier reviews dealt specifically with empirical papers; neither did they provide an analysis of both individual and institutional contributions.
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Ying Chen, Yun-Kyoung Kim, Zhiqiang Liu, Guofeng Wang and Guozhen Zhao
Guided by social exchange theory and signaling theory, this chapter investigates the relationship between individual perceptions of high-performance work systems (HPWS), union…
Abstract
Guided by social exchange theory and signaling theory, this chapter investigates the relationship between individual perceptions of high-performance work systems (HPWS), union instrumentality, and employees’ turnover intention. The results obtained from a multilevel and multisource sample of more than 1,300 employees in 37 multinational corporation based in China show that, in contrast to our hypothesis, union instrumentality is not directly related to turnover intention; rather, the results from the post hoc mediation analysis show that union instrumentality is indirectly and negatively related to turnover intention through affective organizational commitment. Consistent with our hypothesis, the results of our analysis show that union instrumentality serves as an important contingent factor in the relationship between HPWS and employee turnover intention. The relationship between HPWS and turnover intention becomes positive when employee union instrumentality is low.
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Jochen Hartmann and Oded Netzer
The increasing importance and proliferation of text data provide a unique opportunity and novel lens to study human communication across a myriad of business and marketing…
Abstract
The increasing importance and proliferation of text data provide a unique opportunity and novel lens to study human communication across a myriad of business and marketing applications. For example, consumers compare and review products online, individuals interact with their voice assistants to search, shop, and express their needs, investors seek to extract signals from firms' press releases to improve their investment decisions, and firms analyze sales call transcripts to increase customer satisfaction and conversions. However, extracting meaningful information from unstructured text data is a nontrivial task. In this chapter, we review established natural language processing (NLP) methods for traditional tasks (e.g., LDA for topic modeling and lexicons for sentiment analysis and writing style extraction) and provide an outlook into the future of NLP in marketing, covering recent embedding-based approaches, pretrained language models, and transfer learning for novel tasks such as automated text generation and multi-modal representation learning. These emerging approaches allow the field to improve its ability to perform certain tasks that we have been using for more than a decade (e.g., text classification). But more importantly, they unlock entirely new types of tasks that bring about novel research opportunities (e.g., text summarization, and generative question answering). We conclude with a roadmap and research agenda for promising NLP applications in marketing and provide supplementary code examples to help interested scholars to explore opportunities related to NLP in marketing.
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Minna Paunova and Yih-Teen Lee
Arguing that it is necessary to look into specific global leadership processes in specific contexts, this article focuses on collective global leadership in self-managed…
Abstract
Arguing that it is necessary to look into specific global leadership processes in specific contexts, this article focuses on collective global leadership in self-managed multicultural teams using an input-process-output model. Building on a study of nationally and culturally diverse self-managed teams, our work demonstrates that collective global leadership in these teams is critical for team performance (output). Our study also examines some of the affective or attitudinal antecedents of collective global leadership in self-managed multicultural teams (process) and their members’ goal orientations (input). Our findings suggest that a team learning orientation may greatly help multicultural teams overcome the liability of cultural diversity, create a positive intra-team environment, and enable collective global leadership. Our research also suggests that team performance orientation moderates the above effects.
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Anam and M. Israrul Haque
The rapid increase in analytics is playing an essential role in enlarging various practices related to the health sector. Big Data Analytics (BDA) provides multiple tools to…
Abstract
The rapid increase in analytics is playing an essential role in enlarging various practices related to the health sector. Big Data Analytics (BDA) provides multiple tools to store, maintain, and analyze large sets of data provided by different systems of health. It is essential to manage and analyze these data to get meaningful information. Pharmaceutical companies are accumulating their data in the medical databases, whereas the payers are digitalizing the records of patients. Biomedical research generates a significant amount of data. There has been a continuous improvement in the health sector for past decades. They have become more advanced by recording the patient’s data on the Internet of Things devices, Electronic Health Records efficiently. BD is undoubtedly going to enhance the productivity and performance of organizations in various fields. Still, there are several challenges associated with BD, such as storing, capturing, and analyzing data, and their subsequent application to a practical health sector.
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Bruno S. Sergi, Elena G. Popkova, Aleksei V. Bogoviz and Tatiana N. Litvinova