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As the search engine platform, Baidu has already developed keyword advertising as one of its main business scopes, while in-feed advertising is emerging as another intelligent choice for the company. Our purpose is to validate the effectiveness of keyword and retargeted in-feed advertising on offline sales and whether the effectiveness of these two advertising strategies relies on keyword attributes work.

We utilize data from the ad campaigns of a prominent manufacturer within the machinery and equipment (hereinafter referred to as “the company”) on Baidu. To scrutinize the research hypotheses, we have employed linear regression models. Subsequently, we address potential endogeneity issues and use various techniques to ascertain the reliability of the results.

Empirical evidence indicates that both keyword and in-feed advertising enhance offline sales. Upon examining the moderating role of keyword attributes (specificity and length), we observe that specific keywords (price and word-of-mouth (WOM)) accelerate the boosting effect of advertising on sales; similarly, the longer the keywords, the more obvious the enhanced impact of advertising on sales. Moreover, the positive influence of specific keywords (price and WOM) on advertising effectiveness is more outstanding when the keywords are longer.

To our knowledge, no empirical investigation has yet to analyze keyword and retargeted in-feed advertising concurrently within the search engine context. Our research is the inaugural work to reveal that they serve as mutual substitutes regarding their impact on sales. Furthermore, this paper pioneers examining the moderating effects exerted by keyword attributes (specificity and length) on the effectiveness of these two ad types. The findings presented herein offer valuable insights into the harmonious coexistence and collaboration among companies, advertisers, users and search engine platforms.

The technique of reconciling two Of more thesauri is explained and demonstrated with examples from two actual thesauri which are currently being reconciled to form an international co‐operative indexing system in the field of building science. Reconciliation results in the addition of code numbers to the keywords in each thesaurus and the insertion of additional ‘USE’ references, which enable any material indexed with the keywords of one thesaurus to be incorporated in the indexing system based on the other thesaurus without re‐indexing. The original thesauri can continue to be used locally as they were before reconciliation, since the keywords themselves remain unchanged and none are added or deleted. The reconciliation process is independent of thesaurus structure.

The progressive utilization of information necessitates the evaluation of the information‐content of scientific documents over conventional bibliotechnical indexing‐operations. The technique of optimal economical evaluation of information rests in the alternative between the keyword and subject‐index as the symbolic operator. From the analysis of 350 scientific documents the keyword‐concept was, by empirical decision, derived to be the superior operator. Conversely, the concept of subject‐indexing leads to ambiguities of subcategories, since certain branch‐nodes of the categorical trees (code trees) may belong to several simultaneous subject‐categories. This ambiguity can be resolved only by means of coordination‐tables correlating each keyword with the pertinent simultaneous subject‐categories. The application of synonym‐registers affects the concentration of information‐sources with typical completeness for each keyword‐entry in the system. The phrasing of syntactically associated keywords produces a significant precision of the information‐content of the documentary text. The efficiency of a documentary system is predominantly accomplished by information‐filtering in terms of relevant keyword‐phrases. This system‐efficiency is displayed as a function of utility‐rate versus precision‐rate, which is considered superior to Salton's efficiency‐rate of “precision versus recall.” The phrasing of key‐word‐phrases is utilized as the structure for the design of a truly topic‐related abstract to any document. Empirical findings from this study of economical optimization of documentary systems reveal the actual efficiency of the concept of information‐evaluation.

Drawing on the shopping goal theory, this study sets the following research questions. Research question 1: How do keyword characteristics of e-commerce platforms affect seller performance? Research question 2: Do these effects differ according to product type (utilitarian vs hedonic)?

Empirical analysis was conducted using a dataset of 24,907 keywords collected from 30 product categories on Amazon. Multi-level modeling was used to distinguish between product level and keyword level.

Regression analysis showed that keyword readability, customer characteristic keywords and brand characteristic keywords positively affect seller sales. The influence of these keyword characteristics on seller performance varied significantly across different product types.

The exploratory results of this study expanded existing studies by adding keyword characteristics to the factors that determine e-commerce platform seller performance and expanded the literature that mainly examines search engine keyword characteristics. In addition, by newly utilizing the LIWC (Linguistic Inquiry and Word Count) methodology, this study provided a novel contribution to the literature on keyword characteristics.

This paper aims to examine the Islamic marketing literature to uncover potential customer adoption behaviours and enhance the effectiveness of blockchain-based halal logistics services in catering to customer demands. The findings of this paper provide substantial contributions to the realms of both halal logistics services and Islamic marketing literature, delineating future paths for research. By delving into halal logistics practices, integration procedures and service provider performance, this paper assists stakeholders in enhancing halal logistics services to meet the changing demands of customers effectively.

This paper uses a systematic review incorporating bibliometric analysis to examine past and contemporary research topics, selecting and appraising contributions while analysing and consolidating data. A methodical approach has been used to identify, assess and incorporate pertinent studies on Islamic characteristics, traceability technology, blockchain integration and halal logistics practices.

After screening and analysing 139 selected documents with the VOS viewer, it is evident that among a 1,000 keywords, 15 stand out in terms of frequency and link strength. The research highlights the considerable academic interest in themes such as “blockchain”, “halal logistics” and “supply chain”, underscoring their importance. The findings of this paper help bridge the gap in Islamic marketing by linking technology with religious values. It suggests that the integration of blockchain technology in halal logistics enhances operational efficiency while aligning with both operational and Islamic marketing principles, promoting ethical conduct and transparency as key enablers.

The theoretical significance of this paper lies in establishing a correlation among three key research domains: technology, symbolised by blockchain; customer-centric operations, incorporating the halal supply chain and logistics within Islamic marketing. The outcomes reflect consumer behaviour and Shariah compliance. This integration has the potential to introduce innovative theoretical frameworks that encompass religious ethics in marketing, logistics and technological advancements.

This paper comprehensively analyses the intersection between blockchain technology, halal logistics, supply chain management and Islamic marketing. The paper has comprehensively analysed previous studies and outlined the future research path for blockchain technology in halal logistics and its application in Islamic marketing literature.

The purpose of this study is to identify the existing research themes and future directions of the FinTech field by analyzing the dynamics of co-word burst.

A dataset of 1792 SCI or SSCI articles retrieved from the Web of Science database. First, the paper conducted a scientific production analysis. Then, using bibliometric analysis, the paper conducts co-word-burst analyses for keywords, title, abstract and Keywords Plus to detect the emerging trends. Based on these trends, future research directions were forecasted.

The study detected six research themes: the knowledge of FinTech, FinTech applications, FinTech technologies, COVID-19, FinTech ecosystem and FinTech implications for research. These six FinTech research themes were further conceptualized as a six-dimensional analytical framework for FinTech investigations. Then, the study forecasts that these six themes and related conversations will be an ongoing focus of Fintech research, particularly COVID-19 effects on FinTech.

This study is the first attempt to review FinTech literature based on quantitative and qualitative analyses of co-word burst. It overcomes the limitation of individual/group determinant(s) studies and presents a holistic view of current research themes and future research directions in FinTech field.

This chapter opens up a question central to the mission of the business in society field as it has evolved since the formation of division in the Academy of Management (AOM): What are the (future) distinctive competencies of business in society scholarship? We first empirically demonstrate that core topics to the business in society field, as represented by the Social Issues in Management (SIM) Division of the AOM, are now disseminated broadly throughout the management academy, represented by AOM. We call this dissemination the popularity paradox, because it demonstrates that SIM is not well connected with other divisions, that is, sub-disciplines of management despite that they are now regularly dealing with its core questions. Given that SIM’s (and business in society’s) traditional foci are now widely dispersed, the authors argue that it is time for business in society scholars, with SIM as proxy, to begin tackling new core issues that put growing civilizational threats around sustainability and the consequent need for system change and transformation front and center. In a sense, the authors argue that business in society scholars need to return to their roots of seriously questioning the roles and functions of businesses in society through a critical lens that asks and seeks to answer – today’s emerging new and tough questions, though the questions now emphasize the sustainability of human civilization as we know it.

Employing the keyword extraction technique of Term Frequency – Inverse Document Frequency (TFIDF) on 39,487 descriptions posted on a University Co-op and Career on-line job board from May 1, 2013 to May 1, 2020, we report the keywords associated weights for the Big Five personality traits of Openness, Conscientiousness, Extroversion, Agreeableness, and Neuroticism (reversed to indicate Emotional Stability) by job category. The results indicate that one third of job descriptions do not contain any keywords: even if employers are recruiting for particular personality traits, they are not necessarily referencing them in their job descriptions. For those job descriptions with TFIDF scores, Conscientiousness has the highest TFIDF score and Emotional Stability the smallest. Regression analysis indicates that categories more technical in nature, like engineering or business, score higher for “Openness”; Accounting scores highest for “Conscientiousness”; and people-facing roles in healthcare, veterinary care, childcare/teaching and administrative services score higher on “Agreeableness” and, to some extent, “Emotional stability.”