Market Research Research Articles

A predictive model for the security and stability of the lithium-ion battery industry chain based on price modal combinations

Prices act as crucial market signals within industrial chains, and the smooth transmission of prices has significantly impacts on the safety and stability of the entire chain. This paper considers the lithium-ion battery industry chain as a complex system and uses prices as modal signals to construct an FEEMD-NAR-HMM industrial chain safety and stability prediction model. The research findings are as follows: (1) The lithium-ion industry chain exhibits a typical "price-stability" dissipative structure, where the consistency of price fluctuations within the industry chain has a significant impact on its overall safety and stability. (2) When products at different stages of the lithium-ion industry chain experience simultaneous price increases or decreases, the safety and stability of the industry chain are at a high level. When the transmission smoothness of price fluctuations across different stages of the lithium-ion industry chain is low, the safety and stability of the industry chain are at a low level. (3) In the near future, the lithium-ion industry chain will continue to exposed to volatility risks. The government should implement macroeconomic control measures to stabilize the lithium-ion market and increase research investment in lithium resource recycling to prevent a crisis of lithium resource shortages.

Exploring the interplay between experiential and material product purchases on consumer behavior: a meta-analytic investigation

ABSTRACT Despite wealth of research on experiential and material purchases, there is limited understanding of the boundaries of this scholarship, particularly in terms of the contributing factors and moderators that explain consumer preferences. To address this gap, this study aims to understand the influence of consumer preferences for experiential vs material purchases on consumer behavior and identify the key factors shaping these preferences. The study performed a meta-analysis of 22 experimental studies spanning from 2012 to 2022, employing a systematic approach following PRISMA guidelines. It investigated the link between cognitive, behavioral, intellectual, and affective factors and consumer preferences for experiential versus material products. The meta-analysis revealed a significant positive relationship between 36 main indicators and consumers’ decisions to make experiential or material purchases, with experiential purchases exhibiting a strong positive influence on consumer behavior. The study offers significant theoretical implications for the fields of marketing and consumer research regarding experiential and material purchases, as well as practical implications for marketers and policymakers.

A Review of Research on Coding Methods for Open-ended Text Responses in Survey Questionnaires

In fields such as social sciences and market research, open-ended questions can collect richer data information, but how to effectively count and analyse these text answers becomes a key issue. The study mainly explores the three coding methods of open-ended questions in questionnaires, including the definition, process, and application of manual coding, semi-automatic coding, and automatic coding. According to existing literature and data, manual coding has high flexibility and accuracy, but it is inefficient when processing large-scale data; semi-automatic coding combines manual coding and machine learning technology, which can improve efficiency while maintaining a certain degree of accuracy; automatic coding relies on natural language processing technology and deep learning models, which greatly improve coding efficiency, but there is a problem of insufficient accuracy when facing complex semantics. Future research can focus on improving the accuracy of automatic coding through deep learning, developing intelligent semi-automatic systems that reduce manual intervention, and incorporating real-time feedback mechanisms for continuous misappropriation.

Validación de una escala de innovación en marketing en consumidores de pequeños y medianos restaurantes

Marketing innovation contributes to commercial and organizational success; therefore, it is important to have a scale that measures such construct comprehensively. Hence, this research aimed at developing and validating a scale to measure the perception of marketing innovation from consumers of small and medium-sized restaurants’ point of view. The process was carried out in five stages: design of the instrument, content validity, pilot test and exploratory analysis of the scale (with 52 diners), confirmatory factor analysis (with 286 diners), and verification of the scale through a structural model. Results show a high-order scale with five dimensions: technology, management, market research, competitiveness and marketing mix; and sixteen items.

Financial anxiety of university students in Poland and Czechia: fsQCA analysis

PurposeThis study aims to formulate propositions based on combinations of causal conditions that lead to high or low financial anxiety among European students, particularly in Poland and Czechia.Design/methodology/approachThe data for this study were collected in September 2023 from 265 undergraduate and graduate students with their income at one university in Poland and three in Czechia. Students’ views on financial anxiety were explored using a seven-item Likert scale. This study uses fuzzy set qualitative comparative analysis (fsQCA), an emerging marketing research technique.FindingsThere are specific factors that may cause increased financial anxiety among young adults in Poland and Czechia, leading to the following key findings: (1) A mix of factors such as perceived lack of financial knowledge, being female, living with parents, having a low monthly income, single status and working a few hours or not at all is linked to higher financial anxiety. (2) Experiencing financial anxiety is also likely when there is low financial knowledge, female gender, living away from parents, single status and a high number of work hours. (3) The combination of low financial literacy, female gender, living with parents, being single and working more hours can elevate financial anxiety.Originality/valueThis study expands the scope of personal financial research by examining how cultural, socioeconomic and psychological factors affect students’ financial anxiety in two European countries that were infrequently studied in this context. It contributes to identifying the drivers of increased and diminished financial anxiety among young adults in Poland and Czechia.

IMPORTANCE OF MARKETING RESEARCH IN ENHANCING INNOVATION AND COMPETITIVENESS IN UZBEKISTAN'S ENTREPRENEURIAL ECOSYSTEM

This study explores the impact of marketing research on innovation and competitiveness in Uzbekistan's entrepreneurial ecosystem. Qualitative methods like ethnographic research, interviews, and focus groups, along with quantitative surveys, were used to examine how Uzbekistan entrepreneurs use marketing research and its effects on their innovation and competitiveness. The findings highlight marketing research's crucial role in enhancing innovation and competitiveness. It helps entrepreneurs identify and respond to market opportunities, differentiate from competitors, and create innovative products/services. Understanding customer preferences, needs, and behaviors is vital for improving offerings and driving innovation. Challenges faced by entrepreneurs include limited resources and a lack of awareness about the benefits of marketing research. The study recommends increased investment in marketing research by Uzbekistan entrepreneurs to enhance competitiveness, promote innovation, and emphasizes the importance of government support and resources. KEYWORDS: marketing research, innovation strategies, competitive advantage, entrepreneurial ecosystem, business growth, Uzbekistan

Prediction of Temporal Liking from Temporal Dominance of Sensations by Using Reservoir Computing and Its Sensitivity Analysis

The temporal dominance of sensations (TDS) method has received particular attention in the food science industry due to its ability to capture the time–series evolution of multiple sensations during food tasting. Similarly, the temporal liking method is used to record changes in consumer preferences over time. The conjunctive use of these methods provides an effective framework for analyzing food taste and preference, making them valuable tools for product development, quality control, and consumer research. We employed the TDS and temporal liking data of strawberries that were recorded in our earlier study to estimate the temporal liking values from sensory changes. For this purpose, we used a reservoir network, a type of recurrent neural network suitable for time–series data. The trained models exhibited prediction accuracy of the determination coefficient as high as 0.676–0.993, with the median being 0.951. Further, we proposed two types of sensitivities of each sensory attribute toward the change in the temporal liking value. Elemental sensitivity indicates the degree that each sensory attribute influences the temporal liking. In the case of strawberries, the sweet attribute was the greatest contributor, followed by the attribute of fruity. The two least-contributing attributes were light and green. Interactive sensitivity indicates how each attribute affects the temporal liking in conjunction with other attributes. This sensitivity analysis revealed that the sweet attribute positively influenced the liking, whereas the green and light attributes impacted it negatively. The proposed methods offer a new approach to comprehensively analyze how the results of TDS are linked to those of the temporal liking method, serving as a step toward developing an alternative system to human panels.

Marketing Intelligence dalam Membangun Keunggulan Bersaing Industri Kreatif Kota Makassar

This study aims to understand better how marketing intelligence can improve decision-making in marketing strategies. With a strong emphasis on data analysis, information technology, and market research, this study explores practical methods for collecting and analyzing competitive information and market trends. The study also evaluates the impact of using marketing intelligence on business performance and customer satisfaction. The study results indicate that effective implementation of marketing intelligence applied in Makassar City can provide competitive advantages and increase market responsiveness.

Analisis Strategi Viral Marketing melalui Bibliometric Analysis

This bibliometric study aims to map and visualize critical topics and emerging trends in viral marketing research. Analyzing 445 articles from the ScienceDirect database (2010-2024) with VOSviewer, the article identifies key clusters such as social media, social networks, mobile marketing, and e-commerce. New research themes include personalization in viral marketing, fake reviews, influencer marketing, pass-on behavior, electronic word of mouth (eWOM), data analytics and big data, and content sharing and content diffusion mechanisms. The study offers a detailed overview of the established research field and identifies under-explored areas such as crowdsourcing and stigmergy, highlighting the potential for future research. The analysis provides comprehensive insights to support scholars and marketers in refining viral marketing strategies and advancing theoretical and practical applications in the field.

Mapping Authentic Marketing Research Trends through Bibliometric Analysis (2013-2023)

Authentic marketing is a widely debated subject in several industries, including gastronomy, tourism, and culture. This study utilizes bibliometric analysis to identify the current state of the art in authentic marketing themes across multiple scientific disciplines. Bibliometric research analyzes the progress of research on authentic marketing from 2013 to 2023 by examining data from the past 10 years. Bibliometric analysis is to identify and analyze research trends across time, with the goal of generating new research ideas for future studies. Bibliometric research analyzes the progress of research on authentic marketing from 2013 to 2023 by examining data from the past 10 years. Based on bibliometric study, it is evident that the United States has a predominant presence in publications about legitimate marketing. In addition, the most commonly published type of article is the article, and the Journal of Business Research has the highest scientific influence in terms of publication sources, as it has the largest number of citations. Bibliometric analysis aims to identify and map the evolving trends in authentic marketing research, such as perception, sustainability, brand authenticity, social media, influencer marketing, purchase intention, and online social networking. This analysis can provide valuable insights and research ideas for future studies.

Dynamic capabilities research in international marketing: a systematic literature review and direction for future research

PurposeThis study intends to (1) systematically review methodological, theoretical and empirical aspects of dynamic capabilities (DCs) research in international marketing; (2) identify problematic areas and gaps in the reviewed literature and (c) provide directions to address problematic aspects and fill the gaps in future research.Design/methodology/approachThe study applies a systematic literature review methodology and covers 97 articles published between 2001 and 2022 in peer-reviewed journals ranked 2, 3, 4 and 4* in the Academic Journal Guide 2021.FindingsThe content analysis shows that (1) methodologically, the literature is dominated by single-country studies conducted mostly in Asia and Europe on a cross-section of industries, mostly adopting survey-based approaches with a cross-sectional time emphasis; (2) theoretically, dynamic capabilities view is mainly accompanied by resource-based view, followed by institutional-, organizational learning- and internationalization theories; and (3) according to the nomological network, DCs are predicted by firm-characteristics, factors related to networks/relationship/partnerships and managerial characteristics, while they act as predictors of performance-related, strategy-related and operational change and renewal-specific outcomes. Several problematic aspects and gaps for each part of the review are diagnosed.Originality/valueThe authors provide a comprehensive assessment of current knowledge on methodological, theoretical and empirical aspects of the relevant literature, map a nomological network of variables surrounding DCs in international marketing research and offer future research directions capitalizing on the problems and gaps identified in the review.

Social psychology research in the commercial art market: challenges and opportunities

This study investigates the social psychological dynamics of the commercialized art market, employing a multifaceted approach to uncover the complex interplay of factors influencing artistic valuation and market behavior. Utilizing data from 500 top-selling artists and 1000 major collectors over a decade, we conduct quantitative analyses, including time series analysis, principal component analysis, and network structure examination. Our findings reveal the primacy of artist reputation and market demand in price formation, accounting for 45% of the variance in artwork prices. We identify cyclical market patterns aligned with major auction events and economic trends. Network analysis exposes the critical role of intermediaries and community structures in market interactions. Addressing endogeneity concerns through instrumental variable regression, we establish a robust causal link between artist reputation and market outcomes. This research provides valuable insights for artists, galleries, collectors, and investors, offering a comprehensive framework for understanding the contemporary art market's complexities. Our study contributes to the growing body of literature on art market dynamics, highlighting the intersection of social psychology, economics, and cultural trends in shaping artistic value.

Revaluing Jewelry Made from Recycled Copper and Brass

Metal is a material that can be processed in a sustainable manner without degrading or losing its original properties. The composition of metal waste in Indonesia alone is expected to reach 6.86% by 2021 and is ranked fifth as the largest waste composition in Indonesia, which has the potential to damage the ecosystem if not handled properly. Several companies are trying to respond to the concerns about metal waste in Indonesia, namely by revalue metal waste into products such as jewelry, home decor, and furniture. However, recycled metal waste still has a low value in the eyes of society, causing its sparse usage as a product material. This research focuses on the use of brass and copper waste, presented in the form of stories. This research also was carried out through several methods such as literature study, market research, brainstorming, and product development to produce jewelry that connects metal and copper waste materials with the concept of rebirth. Keywords: metal, waste, jewelry, recycle, revalue

Trends and insights in renewable energy research: a comprehensive bibliometric analysis (2000–2023)

Purpose The primary aim of this study is to analyze the evolution and future trajectories of renewable energy research from 2000–2023. By examining publication volumes, citation patterns, geographical and institutional landscapes, and identifying key authors and publications, the study seeks to provide a detailed overview of the developmental trajectory of renewable energy research. It aims to serve as a crucial reference for researchers, policymakers and stakeholders in the energy sector, offering insights that can guide future research directions and policy decisions. Design/methodology/approach This study uses a comprehensive bibliometric analysis of renewable energy literature spanning from 2000 to 2023, using the Scopus database. Advanced tools such as the visualization of similarities viewer were used for in-depth exploration of influential papers, authors, keyword clusters and thematic connections through hierarchical cluster analysis. The study targeted various publications specifically mentioning “renewable energy” and “renewable energies” in their titles, examining publication trends, research areas, geographic origins, institutional affiliations, funding patterns, journal contributions and citation impacts. Findings The analysis reveals robust growth in renewable energy research, with a significant increase in publications over the last two decades. Key contributing countries include the USA, China, the UK, Germany and Spain, demonstrating strong international collaboration. High citation counts and influential journals such as Energy Policy and Renewable and Sustainable Energy Reviews underscore the significance of the research. However, a notable gap in the literature concerning the branding and marketing of alternative fuels was identified, highlighting the need for future research in strategic marketing and consumer engagement aspects of renewable energies. Research limitations/implications The study is limited by its reliance on the Scopus database, which may not capture all relevant publications, and the predominance of English-language documents, potentially introducing language bias. The quantitative focus of bibliometric methods may overlook qualitative aspects of research contributions. Future studies should incorporate diverse databases, languages and qualitative analyses to fully capture the global and multifaceted nature of renewable energy research, addressing these limitations and providing a more comprehensive understanding. Practical implications The insights from this study can inform policymakers and stakeholders about the key trends, influential entities and emerging directions within renewable energy research. Understanding the predominant research themes and influential journals can aid in strategic decision-making and resource allocation. The identification of gaps in the literature, such as the branding and marketing of alternative fuels, can guide future research and policy efforts to enhance public acceptance and broader adoption of renewable energy technologies. Social implications The study highlights global collaboration and communication in renewable energy research, facilitated by the predominance of English as a lingua franca. This international cooperation is crucial for the integration of innovative ideas and solutions across different regions. Addressing the identified gap in consumer engagement and strategic marketing can improve public perception and acceptance of renewable energy technologies, ultimately contributing to the global transition to sustainable energy sources and mitigating climate change impacts. Originality/value This study offers a unique and comprehensive bibliometric analysis of renewable energy research, providing valuable insights into publication trends, key contributors and thematic connections over the past two decades. By identifying gaps in the literature and suggesting directions for future research, the study adds significant value to the field. It serves as a crucial reference point for researchers, policymakers and stakeholders, enhancing their understanding of the evolution and future trajectories of renewable energy research.

FEASIBILITY ANALYSIS OF INTERNATIONALIZATION OF STARTUPS USING A SYSTEMATIC FRAMEWORK

Internationalization is the process of commercial expansion of a business to other countries, increasing its visibility and sustainable growth. In order to analyze the viability of internationalizing a startup, this case study presents the use of a systematic framework, encompassing analysis of opportunities and partners, market research, planning through a flight plan, cost structuring, pricing definition, and takeoff for execution of the proposal. It is understood that, for startups, internationalization is not only a path to growth, but also a boost for innovation and competitiveness in the global business scenario. The results of the application of the framework highlight the potential for scalability and expansion of startups, and the need for careful planning that considers all the variables of this process. This article contributes to the field of international business management, presenting valuable information for entrepreneurs seeking effective expansion strategies.

Methods, techniques and practices for research on poor consumers: A state of the art and a vade-mecum

Marketing research targeting poor consumers has been developing recently. The specific characteristics of these consumers make it difficult to conduct empirical research. This difficulty has raised the question of how to adapt the methods and techniques usually used in marketing. This article provides a multidisciplinary review of the difficulties encountered in addressing people living in poverty and enables researchers to assess this population and anticipate their needs. In addition, based on a literature review of the methods used in 83 empirical marketing studies published between 1990 and 2021, our study provides researchers with a vade-mecum to guide them in their choice of research design. Concrete and detailed recommendations are provided to facilitate their involvement in the field of poor consumers.

Event-Based Optimization of Tourism at Pasir Padi Beach, Pangkalpinang City

Pasir Padi Beach, located in Pangkalpinang City, Bangka Belitung Island Province, has become a major tourist destination by hosting various events that attract local and foreign tourists. This study aims to optimize event-based beach tourism at Pasir Padi Beach by analyzing social, economic, infrastructural, and cultural impacts. Data were gathered through interviews with the Pangkalpinang City Tourism Office, observations, and secondary sources. The findings indicate high community participation, enhanced social cohesion, and significant economic benefits for local MSMEs, with income increases of 60-80% during events. However, challenges such as inadequate community readiness, lack of market research, and suboptimal stakeholder synergy were identified. To address these challenges, a comprehensive strategy is proposed, including improving infrastructure, diversifying events, and integrating local cultural elements to balance tourism development and cultural preservation. Government support, combined with local community empowerment and strong stakeholder collaboration, is essential. Effective marketing strategies, utilizing social media and influencers, and the implementation of sustainable tourism practices are recommended to maximize economic benefits while preserving environmental and cultural integrity. In conclusion, with strategic improvements in infrastructure, event management, and stakeholder involvement, Pasir Padi Beach can become a model for sustainable event-based beach tourism, promoting economic growth, social cohesion, and cultural preservation. The study’s limitation is the reliance on a single informant from the Tourism Office, which may limit perspective diversity. Future research should involve a wider range of stakeholders, including MSMEs, youth groups, local artists, and private sector representatives, to provide a more comprehensive understanding.

Are Brothels Markets? Situating Consumer Research at the Nexus of the Essential, the Embarrassing and the Exception: A Viewpoint from Sociological Traditions

This essay critiques the trend in consumer research that deliberately excludes subjects considered exceptional. Drawing from multiple traditions in sociological literature, we analyse the interaction of factors that create persistent paradoxes in social imaginaries - paradoxes that have also impacted the academic community. While the majority of scholarly publications tend to take a reductionist view of consumer concerns, the vulnerabilities faced by queer groups and sex workers are largely ignored, with sex workers being pushed to the absolute margins. The relentless pursuit of tokenism, quantified by novel contributions or citations, has further marginalized invisible narratives of hope and resilience. The article advocates for a more inclusive approach in the development of new areas of consumer research, particularly in the domains of macro marketing, public policy, and transformational consumer research.

EXPRESS: Conceptual Research: Multidisciplinary Insights for Marketing

Conceptual research is fundamental to advancing theory and, thus, science. Conceptual articles launch new research streams, resolve conflicting findings, explain new phenomena, and integrate divergent research areas. Yet, compared with other disciplines, marketing publishes little conceptual research. This paper provides a multidisciplinary perspective of conceptual research to help increase the quality and quantity of conceptual research in marketing. First, the authors compare conceptual research approaches across marketing, management, psychology, and sociology to provide a synthesis of existing conceptual research frameworks. Second, using citation analyses, the authors provide insights into the academic impact of conceptual research across disciplines, across marketing domains, and over time; they also assess its impact outside of academia. Third, to assist researchers, the paper offers a step-by-step process or “how to” guide for developing high-impact conceptual research, based on insights from the multidisciplinary analysis and interviews with conceptual researchers from different disciplines. Fourth, drawing on the interviews and keyword analysis of recent conceptual marketing articles, the authors suggest emerging opportunities for conceptual research and how to increase the value of conceptual papers for practitioners.

A dimensional exploration and scale development study of algorithm aversion

The increased use of AI in business has spurred an explosion in algorithm aversion research. The absence of scientific measurement instruments has caused the empirical research on the structural dimensions and measurement scales of algorithm aversion to stagnate, and the field is currently just in the exploratory stages of investigation. The results of experimental research and polls on algorithm aversion and appreciation may not be as broadly applicable as they may be because roughly two thirds of them used U.S. samples. Thus, extending from previous research, this work applies grounded theory to investigate the dimensionality of the structural dimensions of algorithm aversion using data from Chinese user interviews as well as the MicroBlog, Zhihu, and CSDN corpus. The scale was tested through the processes of questionnaire, exploratory factor analysis, and validation factor analysis to construct the scale of algorithmic aversion. The study finds five dimensions of algorithm aversion: Algorithm power gameplay, Algorithm user lock-in, Algorithm cognitive bias, Algorithm recommendation preference, and Recommendation algorithm adoption. The scale has a good level of validity and reliability and comprises 22 items. The findings of this study will support theoretical underpinnings for AI marketing and practical research on algorithm aversion in recommendation systems.