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Technology Application in Tourism in Asia: Comprehensive Science Map** Analysis
Technology application in tourism new strategy (from now on referred to as the e-smart e-tourism strategy). To provide valuable insights into...
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The Use of PLS-SEM in Engineering: A Tool to Apply the Design Science
The purpose of this chapter was to make the methodological connections between PLS-SEM and Engineering through Design Science. The adaptability of...
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Setting Up a Company in the Life Science Sector
Biotechnology as a cross-sectional technology offers a wide range of benefits. We are familiar with applications in the fields of health, nutrition,...
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Behavioural OR: Recent developments and future perspectives
Behavioural OR (BOR)Behavioural OR (BOR) is not a new field of study but there have been many recent developments. A key one is the distinction of...
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A Framework of Matching Algorithm for Influencer Marketing
Modern lifestyles have been altered significantly by recent developments in information and communications technology. In the marketing field,...
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Exploring the academic development trace and theme evolution in Cross-Border Electronic Commerce
The prosperity of cross-border e-commerce (CBEC) has boosted the global economy and strengthened international trade ties. It arouses wide attentions...
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The dynamic nature of marketing constructs
This study proposes an ideal, four-stage model of construct evolution (emergence → conceptualization → competition → consensus) to explain construct...
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Literary Tourism: Literature Developments and Research Lines from 2015 to 2020
Although literary tourism is still an understudied field, the beneficial relationship between tourism and literature is becoming very clear. Literary...
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Introduction to Communicating Globally: An Integrated Marketing Approach
This chapter considers and summarizes changes that have taken place over the past decades, during which integrated marketing communications have made...
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The Need and Importance of Financial Innovation in City Marketing
Responding to consumer expectations financially due to continually changing needs has become an increasingly important problem. The financial problem...
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The Role of Marketing in the Technology Transfer Process
In this chapter we introduce a range of models of innovation and their links to university-industry technology transfer. We explore linear...
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The evolving international entrepreneurship orientations and international entrepreneurship capital in the rapidly changing and digitizing international environments
The relationship between entrepreneurial orientations and internationalization has been examined extensively, but the recent developments in the...
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Artificial Intelligence Analysis of Marketing Scientific Literature: An Abstract
We discuss the development of a machine-based research literature reading methodology for marketing science based on artificial intelligence (AI)...
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Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research
Data science and big data analytics (DS &BDA) methodologies and tools are used extensively in supply chains and logistics (SC &L). However, the...
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The Current State of Marketing
Marketing departments suffer from poor image and bad reputation in both companies and public. Traditional marketing embraces practices that can be...
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Global Digital Marketing Strategy
This chapter looks at digitalization from a consumer perspective and from a corporate perspective. We start by pointing out how uneven the Internet...
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B2B Marketing Strategy: Finding the Needle in the Haystack
The age of inaction in B2B marketing is coming to an end. With the explosion of Marketing Technology (MarTech), the democratisation of...
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Entrepreneurial Marketing and Its Relationship on Business Competitiveness in Footwear and Agro Industries of Small and Medium Industries
Micro, small and medium enterprises (MSMEs) are the engines of the largest economy in the world, including in Indonesia. Nowadays, various research...
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Research trends in market intelligence: a review through a data-driven quantitative approach
The exponential growth of data-driven decision-making in modern business stimulates the gravity of market intelligence (MI) in both industry and...
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The application of machine learning for demand prediction under macroeconomic volatility: a systematic literature review
In a contemporary context characterised by shifts in macroeconomic conditions and global uncertainty, predicting the future behaviour of demanders is...
