The notion of dominant terminology in bibliometric research

In this opinion paper, we introduce the expressions of dominant terminology and dominant term in the quantitative studies of science in analogy to the notion of dominant design in product development and innovation.

Impact of minimalism on consumers’ low-carbon innovation behavior: Interactive role of quantitative behavior

Minimalism has become a new consumer trend that can guide low-carbon innovation behaviors.This study uses two experiments and one survey to explore the mechanisms underlying the relationships among minimalism,quantitative behavior,and low-carbon innovation behavior.The results show that(1)minimalism can positively influence consumers’low-carbon innovation behavior;(2)the interactive effect of minimalist and quantitative behavior on low-carbon innovation behavior is significant;and(3)meaning in life can play a significant mediating role in the relationship between minimalism and low-carbon innovation behavior.Finally,corresponding strategies for theory and management practices are proposed.

A Deep Learning Based Sentiment Analytic Model for the Prediction of Traffic Accidents

The severity of traffic accidents is a serious global concern,particularly in developing nations.Knowing the main causes and contributing circumstances may reduce the severity of traffic accidents.There exist many machine learning models and decision support systems to predict road accidents by using datasets from different social media forums such as Twitter,blogs and Facebook.Although such approaches are popular,there exists an issue of data management and low prediction accuracy.This article presented a deep learning-based sentiment analytic model known as Extra-large Network Bi-directional long short term memory(XLNet-Bi-LSTM)to predict traffic collisions based on data collected from social media.Initially,a Tweet dataset has been formed by using an exhaustive keyword-based searching strategy.In the next phase,two different types of features named as individual tokens and pair tokens have been obtained by using POS tagging and association rule mining.The output of this phase has been forwarded to a three-layer deep learning model for final prediction.Numerous experiment has been performed to test the efficiency of the proposed XLNet-Bi-LSTM model.It has been shown that the proposed model achieved 94.2%prediction accuracy.

The transaction behavior of cryptocurrency and electricity consumption

Rapidly increasing cryptocurrency prices have encouraged cryptocurrency miners to participate in cryptocurrency production,increasing network hashrates and electricity consumption.Growth in network hashrates has further crowded out small cryptocurrency investors owing to the heightened costs of mining hardware and electricity.These changes prompt cryptocurrency miners to become new investors,leading to cryptocurrency price increases.The potential bidirectional relationship between cryptocurrency price and electricity consumption remains unidentified.Hence,this research thus utilizes July 312015–July 122019 data from 13 cryptocurrencies to investigate the short-and long-run causal effects between cryptocurrency transaction and electricity consumption.Particularly,we consider structural breaks induced by external shocks through stationary analysis and comovement relationships.Over the examined time period,we found that the series of cryptocurrency transaction and electricity consumption gradually returns to mean convergence after undergoing daily shocks,with prices trending together with hashrates.Transaction fluctuations exert both a temporary effect and permanent influence on electricity consumption.Therefore,owing to the computational power deployed to wherever high profit is found,transactions are vital determinants of electricity consumption.

Generational Dynamics of Innovation Adoption in Chinese Consumer Markets: A Comprehensive Analysis

This extensive and comprehensive study delves into the intricate dynamics of generational responses to innovative marketing strategies within the dynamic landscape of the Chinese consumer market.Given China’s rapid economic growth and technological advancements,it has become imperative for businesses and marketers to grasp how different generations engage with marketing innovations.This study encompasses Baby Boomers,Generation X,Millennials,and Generation Z,each shaped by unique life experiences and societal contexts,resulting in distinct preferences and behaviors.Furthermore,the study offers a thorough analysis of how diverse generations in China interact with and respond to innovative marketing strategies,providing academic researchers and businesses operating in the rapidly evolving Chinese consumer marketing landscape with actionable insights.Understanding these generational dynamics is crucial for developing marketing strategies that resonate with diverse generational segments and harnessing the power of technology to connect with consumers across all age groups.The dynamic landscape is further enriched by the proliferation of digital technologies,social media platforms,and e-commerce ecosystems.This study scrutinizes how these generational cohorts interact with innovation in marketing,considering preferences,technological adoption patterns,cultural influences,and attitudes toward trust and privacy.Additionally,it examines generational disparities in marketing channel preferences,offering valuable insights for companies aiming to tailor their marketing strategies to effectively engage diverse generational segments in China.Importantly,this research underscores the strategic significance of understanding generational differences in marketing innovation adoption.It emphasizes that this knowledge is not solely an academic pursuit but rather a critical necessity for companies seeking to thrive in one of the most competitive consumer markets globally.By acknowledging and responding to the distinct preferences and behaviors of various generational cohorts,businesses can forge meaningful connections,optimize return on investment,and adeptly navigate the evolving consumer landscape.

团队反思与团队资源开发、利用及团队结果的关系:一项元分析

基于95篇文献的96个独立研究(总样本量N=9052),对团队反思与团队资源开发、团队资源利用及团队结果(团队任务绩效、团队创造力、团队创新绩效)的关系进行了元分析,检验了国家文化(权力距离、集体主义、阳刚主义、长期取向)的调节作用,探究了团队资源开发、团队资源利用在团队反思与团队结果间的中介效应。结果表明:(1)团队反思与团队资源开发、团队资源利用、团队任务绩效、团队创造力、团队创新绩效存在中等程度以上的正相关关系。(2)权力距离正向调节团队反思与团队资源利用、团队任务绩效的关系,集体主义正向调节团队反思与团队资源利用、团队任务绩效、团队创新绩效的关系,阳刚主义正向调节团队反思与团队资源利用的关系,长期取向正向调节团队反思与团队任务绩效的关系。(3)团队资源开发和团队资源利用中介了团队反思与团队结果的关系。相较团队资源开发,团队资源利用在团队反思与团队任务绩效间的中介作用更强;相较团队资源利用,团队资源开发在团队反思与团队创造力之间的中介作用更强;团队资源开发、团队资源利用在团队反思与团队创新绩效之间的中介作用不存在显著差异。研究结果有助于理解团队反思与团队资源开发、利用和团队结果的关系及跨文化差异,并为实践中的团队反思提供参考。

The Compound F^2-index and the Compound H-index as Extension of the f^2 and h-indexes from a Dynamic Perspective

Purpose: Elaboration of an indicator to include the dynamic aspect of citations in bibliometric indexes.Design/methodology/approach: A new bibliometric methodology—the f^2-index—is applied at the career level and at the level of the recent 5 years to analyze the dynamic aspect of bibliometrics. The method is applied, as an illustration, to the field of corporate governance.Findings: The compound F^2-index as an extension of the f^2-index recognizes past achievements but also values new research work with potential. The method is extended to the h-index and the h^2-index. An activity index is defined as the ratio between the recent h'-index to the career h-index.Research limitations: The compound F^2 and H-indexes are PAC, probably approximately correct, and depend on the selection and database.Practical implications: The F^2-and H compound indexes allow identifying the rising stars of a field from a dynamic perspective. The activity ratio highlights the contribution of younger researchers.Originality/value: The new methodology demonstrates the underestimated dynamic capacity of bibliometric research.

Research on Institutional Innovation of Non-public Forestry

This article analyzes the form and the mechanism of non-public forestry’s institution obstacles by classical economics, institution economics, legal economics and economic theories of modern forestry. Regarding the proprietary institution as the core, and cost-income as the main clew￡?it defines the concept and category of non-public forestry subsidy and compensation. And according to the relaxed control and efficiency principle of market economy￡?this paper establishes a set of institution that accords with the development of non-public forestry, offers both theoretical supports and decision- making references to remove institution obstacles of non-public forestry, and coordinates the policies of non-public forestry with those of the public-owned forestry.

Challenges of agriculture and food systems issues in China and the United States

China and the United States are the two most significant nations in the contemporary global food and agricultural network.In addition,they are two of the most important innovators with respect to the development of new crop varieties,agro-technologies,farm products,markets and consumer issues,such as consumer resistance to genetically modified foods,among others.In the face of an ever-complex web of interactions,technologies and products among producers and consumers in both nations,there are far more structural similarities than differences in the food and agriculture sectors of these two nations.This essay,adopting some of the themes of the Sino-American Symposium on Future Issues Affecting Quality of Life,presents a limited but representative comparative assessment of three of the most important shared challenges impacting the agricultural sectors of China and the United States for the period from 2000 to the present including 1)environmental challenges related to agricultural water supply,2)declines in farm labor and rural population,and 3)growing food-related concerns and challenges.For both nations,excessive and unsustainable groundwater consumption has lowered water tables and limited crop production.Rural populations and farm workforces in both nations are also declining,leading to labor challenges in both nations.Finally,concerns regarding food safety are also very similar with major challenges to the farm sector associated with consumer resistance to genetically modified food crops and sanitation issues linked to lengthening supply chains.All of these issues threaten the development of sustainable agricultural production systems.

Equalities between h-type Indices and Definitions of Rational h-type Indicators

Purpose: To show for which publication-citation arrays h-type indices are equal and to reconsider rational h-type indices. Results for these research questions fill some gaps in existing basic knowledge about h-type indices.Design/methodology/approach: The results and introduction of new indicators are based on well-known definitions.Findings: The research purpose has been reached: answers to the first questions are obtained and new indicators are defined. Research limitations: h-type indices do not meet the Bouyssou-Marchant independence requirement.Practical implications: On the one hand, more insight has been obtained for well-known indices such as the h-and the g-index and on the other hand, simple extensions of existing indicators have been added to the bibliometric toolbox. Relative rational h-type indices are more useful for individuals than the existing absolute ones.Originality/value: Answers to basic questions such as "when are the values of two h-type indices equal" are provided. A new rational h-index is introduced.

Development of Comment Correlation Matrix for Mobile Application Recommendation

As the evolution of mobile technology, mobile devices have become an essential tool in people's daily life. Moreover, with the rapid growth of Internet and mobile networks, people can easily access various services provided by mobile platforms. Many services can be executed on the mobile devices with various mobile applications launched to mobile platforms. People can choose what they like to install in their mobile devices and hence make their life more convenient, entertaining, and productive. However, there are too many mobile applications for users to choose. The goal of this research is to propose a methodology which can recommend top-N lists for mobile applications. A comment correlation matrix is proposed. Furthermore, a recommendation algorithm for mobile applications based on user comments and key attributes is built. With the proposed method, it outperforms Google play and is closer to user real feelings.

An Application of Heterogeneous Bayesian Regression Models with Time Varying Coefficients to Explore the Relationship between Customer Satisfaction and Shareholder Value

The authors propose new Bayesian models to obtain individual-level and time-varying regression coefficients in longitudinal data involving a single observation per response unit at each time period. An application to explore the association between customer satisfaction and shareholder value is included in the paper. The Bayesian models allow the flexibility of incorporating industry and firm factors in the context of the application to help explain variations of the regression coefficients. Results from the analysis indicate that the effect of customer satisfaction on shareholder value is not homogeneous over time. The proposed methodology provides a powerful tool to explore the relationship between two important business concepts.

Analysis of Critical Factors in Manufacturing by Adopting a Cloud Computing Service

The advantages of a cloud computing service are cost advantages,availability,scalability,flexibility,reduced time to market,and dynamic access to computing resources.Enterprises can improve the successful adoption rate of cloud computing services if they understand the critical factors.Tofind critical factors,this studyfirst reviewed the literature and established a three-layer hierarch-ical factor table for adopting a cloud computing service based on the Technology-Organization-Environment framework.Then,a hybrid method that combines two multi-criteria decision-making tools—called the Fuzzy Analytic Network Process method and the concept of VlseKriterijumska Optimizacija I Kompromisno Resenje acceptable advantage—was used to objectively identify critical factors for the adop-tion of a cloud computing service,replacing the subjective decision of the authors.The results of this study determinedfive critical factors,namely data access secur-ity,information transmission security,senior management support,fallback cloud management,and employee acceptance.Finally,the paper presents thefindings and implications of the study.

The Application of Innovative Automobile Maintenance Services from Customers’ Viewpoints: A Hybrid Method

Company experts and academicianshave paid significant attention to issues of new product/service development. However, few studies have been carried outtodiscuss innovative product/service development mindful of the competitive positions between competitors. This study introduces a hybrid method of positioning analysis, conjoint analysis and rough set theory to understand the competition positions and facilitate innovative product/service development from the customers’ perspective. The hybrid method is also supported by in-depth interviewing, factor analysis, preference regression, ideas simulation, ideas selection, and specific weight valuation methods. We choose the automobile maintenance industry in Taiwan, whose objective is to improve product/service qualities and enhance customers’ satisfaction and loyalty.This is also the subject of our empirical study. The results show that the proposed hybrid method is effective for innovative product/service development. Moreover, the empirical findings provide useful information for automobile maintenance providers so that they may be better able to pay attention to their competitive positions and their customers’ preferences, and better able to facilitate their innovative automobile maintenance service development, in order to achieve sustainable competitive advantages.

Online Advertising and Customer Satisfaction of E-Tailing Firms in Nigeria

This study examined the Impact of Online Advertising on Customers Satisfaction of E-tailing Firms in Nigeria. A survey research design was adopted. The source of data used in this study was mainly primary data from the issuance of questionnaire and secondary data from the review of relevant literature bothering on both variables which formed the basis for the argument. Out of a total of three hundred and eighty four (384) copies of questionnaire distributed, two hundred and eighty five (285) copies was used for analysis and analyzed using Spearman’s Rank Order Correlation Coefficient with the help of Statistical Package for Social Sciences (SPSS). The findings of the study reveal amongst others that there is a positive and strong relationship between online advertising and customers’ satisfaction;and online advertising significantly affects customer satisfaction. The study concludes that online advertising influenced satisfaction of the customers to a strong extent. However, online advertising is a key determinant of customer satisfaction as it is considered as a point of interaction between customers and the company from which they buy their products. A heuristic model was proposed to show our contribution to knowledge that the relationship between e-mail marketing and measures of customer satisfaction is very strong and is moderate on all other tested hypotheses. And the study recommends that advertising managers of e-tailing firms must develop and formulate e-mail marketing programs that will satisfy the needs of consumers and advert should be placed on stations and places where consumers can easily identify with them and make a purchase. Suggestions for further studies were outlined.

Determinants of Mobile Banking Adoption in the Ghanaian Banking Industry: A Case of Access Bank Ghana Limited

The study examined the determinant of mobile banking adoption among bank customers in Ghana, with specific emphasis on Access Bank. In line with literature, the study applies theoretical frameworks which have been developed from existing literatures on innovation and adoption to collect responses from one hundred and fifty (150) sampled customers of Access Bank in order to investigate the determinants of mobile banking adoption in the Ghanaian banking industry. The results from the study revealed that, each factor measured had some level of significant effect on consumer intention to adopt and use mobile banking services provided by Access Bank. Additionally, the study unveiled that, perceived credibility and perceived financial cost were the major setback with regards to customers adoption of mobile banking services provided by Access Bank, and as a result of this, Ghanaians have formed a negative behavioural pattern towards mobile banking. In addition, the findings showed that, perceived credibility and perceived financial cost have a stronger effect on consumer intention to adopt and use mobile banking service than perceived usefulness and perceived ease of use. It was, therefore, recommended that banks in Ghana should create more awareness through personal interaction with customers, develop quality initiatives in order to build customer’s confidence. Equally, banks should also review the cost of their mobile banking service.

AB018.The impact of emotional priming on delayed discounting

Background:The aim of the current study is to investigate how consumer behaviour in a financial cost scenario,assessed by using a cost-discounting paradigm,can be influenced by an emotional state.To our knowledge,this is the first study to analyze the effect of emotional priming on cost discounting behavior.Cost discounting,is a phenomenon whereby a decline of subjective value is observed given a time delay before receiving,or losing,something of value.This raises the question:what traits and skills do these young individuals possess that allow them to inhibit acting to obtain an immediate reward?A common explanation by delayed discounting researchers is that individuals who have a higher subjective value as a function of time(i.e.,discount less),are able to control their emotional response to the reward(Gómez-Miñambres et al.,2017).By delving further into both emotion and discounting research,it becomes more apparent that the two factors interact,and deserve more attention in behavioural science and consumer behaviour research.Methods:Participants(N=144)were recruited from the John Molson School of Business Participant Pool.To induce emotion,images from the international affective picture system were used.Participants were randomly assigned to one of the five emotional priming conditions(neutral valence×neutral arousal,low valence×low arousal,low valence×high arousal,high valence×low arousal,high valence×high arousal).After viewing a series of 20 pictures that were presented sequentially for 5 seconds per image,participants were then tested in either cost scenario($1,000 or$25,000),with a succession of choices between incurring a fixed cost now,or a increased cost over a given time delay(e.g.,PAY$1,000 today,or PAY$1,250 in 1 month).Results:In both the$1,000 and$25,000 cost conditions,it was shown that the null hypothesis was approximately 16 times more likely to explain the variance accounted for(BF01=16.05,error=1.37%)in this experiment.However,it is noteworthy to address that between high arousal×positive valence and high arousal×negative valence conditions,the two conditions at opposing ends of the emotional priming spectrum,a significant difference was observed,t(64)=−2.27,P=0.03,d=0.56,BF10=2.00,error=0.01%,in their respective discounting rates.Conclusions:A significant result between the two previously mentioned subgroups is the comparison between the respective cost discounting behaviour of two most extreme ends of the pictorial emotional priming spectrum.These findings are to be taken anecdotally for a variety reason.The overall effect of difference between the five subgroups’discounting rates was observed to be vastly more probabilistic of the null hypothesis.The data collected for the current study demonstrates an association between visually induce emotional affect and cost-oriented decision making.However,there is in need of further investigation in order to establish any definitive linkages.

Predictive Model to Evaluate Accommodation of Conflict Management Strategies and Board Performance of Oil and Gas Companies in Port Harcourt

This paper evaluates accommodation of conflict management strategies and board performances in oil and gas sector.The study details the re­flection of effectiveness,efficiency and productivity as the answer to thorough efficiency in accommodation of conflict management in oil and gas sector,these parameters in the system express their efficacy on con­flict management in these multinationals,this implies that for thorough efficiency,these variables must work simultaneously for effective and efficient in structural organization that can be a leading multinational sector in oil and gas environment.The study observed Linearized result from graphical representation explaining predominant lower efficiency and little higher efficiency in accommodation of conflict management in oil and gas companies.These experiences from the study monitor the system from generated simulation values that describe the growth rates in exponential phase of accommodation conflict strategic management.Despite exponential phase the results experienced lower parameters,when comparing on its variations showing its poor efficiency as observed in the study.Few periods observed higher effective accommodation on conflict strategic management.The developed model stimulation values were subjected to validation and both parameters generated favourable fits correlation,the study expressed the deficiency on accommodation of conflict management strategy thus developed models that can monitor the fluctuation and progressive state of accommodation on conflict manage­ment strategy,it defines the reflection of other parameters that express the behaviour of the system in terms of conceptual approach to monitor these type of strategic management in oil and gas companies.