(ICTs) gave us new and innovative wave of communication life such as living in cyber space, instant messaging, and communications with whom anyone in anywhere. These are changing not only life-style, but also mode of business in every industry. Health care service industry is resource-intensive, processoriented, and doing business traditionally by method of confrontation between medical professionals and patients. ICTs have great potential to address some of the challenges faced by both developed and developing countries in providing accessible, cost-effective, high-quality health care services. Telemedicine uses ICTs to overcome geographical barriers, and increase access to health care services. These are particularly beneficial for rural and underserved communities in developing countries groups that traditionally suffered from lack of access to health care. In light of this potential, the World Health Organization (WHO) established the Global Observatory for eHealth (GOe) to review the benefits that ICTs can bring to health care and patients’ wellbeing. The Observatory is charged with determining the status of eHealth solutions, including telemedicine, at the national, regional, and global levels, and providing WHO’s Member States with reliable information and guidance on best practices, policies, and standards in eHealth. In 2005, following the formation of WHO’s eHealth strategy, the Observatory conducted a global eHealth survey to obtain general information about the state of eHealth among Telemedicine: Opportunities and Developments in Member States: Report on the Second Global Survey on eHealth 2009 (Global Observatory for eHealth Series, Volume 2)
Due to the lack of physical touch, social distancing caused by COVID-19 makes it difficult to convey social intentions through handshakes. To mitigate this situation, one promising solution is to simulate distinguishable handshake patterns through haptic feedback devices during distant social communication. This paper reports a distant handshake scheme with multi-modal soft haptic gloves. To address the challenge of duplicating rich haptic stimuli of real handshakes in a compact glove, we extracted four haptic features including grip location, grip strength, skin temperature, and shaking frequency from abundant components of the haptic perception system to mimic handshake behaviors. To guide the interference-free spatial layout of multiple actuators in a limited hand-sized space, we measured the handshake contact area and grip strength of different handshake patterns, which together with the thermosensitivity of the human hand determine the grip location, grip strength, and salient thermal stimulating location. We developed a multi-modal soft haptic glove by rendering four features through pneumatic pressure, thermal, and vibrotactile stimuli, respectively. A user study was conducted to validate the performance of our glove, which set two states for each of the four features, showing over 90% accuracy in distinguishing 16 handshake patterns. Furthermore, a user study on the identification of social intentions yields the finding that distant handshakes with our haptic gloves can convey positive, neutral, and negative social intentions. These results inform the potential of distant handshakes with haptic gloves to convey social intentions in remote interactions including business, politics, and daily life in severe and post-pandemic situations, as well as in future metaverse-based society.
Business Process Model and Notation (BPMN) is a widely used standard for modelling business processes. While automated planning has been proposed as a method for simulating and reasoning about BPMN workflows, most implementations remain incomplete or limited in scope. This project builds upon prior theoretical work to develop a functional pipeline that translates BPMN 2.0 diagrams into PDDL representations suitable for planning. The system supports core BPMN constructs, including tasks, events, sequence flows, and gateways, with initial support for parallel and inclusive gateway behaviour. Using a non-deterministic planner, we demonstrate how to generate and evaluate valid execution traces. Our implementation aims to bridge the gap between theory and practical tooling, providing a foundation for further exploration of translating business processes into well-defined plans.
Siddhartha Krothapalli, Kartikey Singh Bhandari, Tridib Kumar Das
et al.
As customer feedback becomes increasingly central to strategic growth, the ability to derive actionable insights from unstructured reviews is essential. While traditional AI-driven systems excel at predicting user preferences, far less work has focused on transforming customer reviews into prescriptive, business-facing recommendations. This paper introduces ReviewSense, a novel prescriptive decision support framework that leverages advanced large language models (LLMs) to transform customer reviews into targeted, actionable business recommendations. By identifying key trends, recurring issues, and specific concerns within customer sentiments, ReviewSense extends beyond preference-based systems to provide businesses with deeper insights for sustaining growth and enhancing customer loyalty. The novelty of this work lies in integrating clustering, LLM adaptation, and expert-driven evaluation into a unified, business-facing pipeline. Preliminary manual evaluations indicate strong alignment between the model's recommendations and business objectives, highlighting its potential for driving data-informed decision-making. This framework offers a new perspective on AI-driven sentiment analysis, demonstrating its value in refining business strategies and maximizing the impact of customer feedback.
Abstract. The development of social media has transformed the landscape of modern business by creating opportunities and challenges related to corporate ethics and accountability practices. The speed of information dissemination, transparency, and public participation have made social media a strategic arena that is vulnerable to abuse, such as misleading marketing and misuse of consumer data. This study aims to analyze the role of business ethics in the social media era as a mechanism for corporate accountability. The method used is qualitative research with content analysis of secondary literature, including journal articles, academic books, institutional reports, and company case studies, with data validity ensured through triangulation and peer review. The research findings indicate that the application of business ethics principles such as integrity, honesty, fairness, responsibility, and transparency strengthens corporate accountability. Companies that consistently apply ethical practices are able to reduce reputational risks, enhance public trust, and strengthen their competitive position. The implications of the findings emphasize the need for companies to develop a specific social media communication code of ethics, conduct regular content audits, and involve the public in evaluating social performance, thereby making digital communication strategies more ethical and responsible.
Purpose This study aims to explore the strategies corporations use in engaging stakeholders to sustain healthy corporate partnerships and create value for the corporate entity and the society in which they operate and their influence on the corporate manager’s cognitive abilities and decision-making. Design/methodology/approach The authors used an interpretive research approach leveraging the strengths of qualitative method of content analysis and comparative and critical analyses to report the results. Interpretive methods incorporate social theories and standpoints that view reality as the social construction of understandable events in the context of organizational communication. Findings The findings of this study suggest that corporations are assumed to follow and execute the principles of engaging stakeholders to achieve corporate social responsibility (CSR) claiming to manage a sustainable and responsible business practices that recognize local cultures, human rights and protect the environment. However, little attention has been paid to the cognitive reasoning of the individuals responsible for CSR and corporate sustainability (CS) as opposed to the growing concerns about strategies corporations use in engaging stakeholders to sustain healthy corporate partnerships and create value – especially the processes that take place during engagement and decision-making including cognitive offloading. Practical implications Stakeholder engagement requires practical approaches that enable corporations and individuals charged with decision-making responsibilities to understand, respond and fulfill their CSRs. To achieve CSRs, corporations and managers responsible for relevant decision-making would need to involve stakeholders in social performance planning, as social reporting/auditing has long been advocating for preventing managerial biasness, groupthink and increased information dissemination via detailed reporting practices toward more collaborative stakeholder relationships. Thus, it is crucial for corporations to implement enhanced stakeholder and managerial decision-making strategies such as integrative approaches to achieve balance in the trio elements of sustainability as well as the growing use of paradox perspective to understand the nature of the tensions being sought to balance and, in the process, provide opportunity for a better evaluation of complex sustainability issues for innovative approach to resolving them. While cognitive decision-making is at play, in practice, managers tasked with making decisions must ensure the most effective stakeholder engagement strategies that are transparent and inclusive are used. Originality/value The main contribution of this study is its argument regarding the tools corporations use in engaging key stakeholders and the cognitive reasoning of the individuals responsible for CSR and CS. The study further contributes to interpreting the integrative approach to achieving balance in the trio elements of sustainability as well as the growing use of paradox perspective to understand the nature of the tensions being sought to balance and, in the process, provide an opportunity for a better evaluation of complex sustainability issues for an innovative approach to resolving them.
Xiaoyu Jiang, Syafila Kamarudin, Yingying Cai
et al.
Crisis response strategy is a pivotal concept for organizations in crisis communication, serving as a valuable framework for examining public behavioral intentions. Few systematic reviews have examined the impact of crisis response strategies on organizations. This paper aims to investigate the relationship between crisis response strategies and behavioral intentions within organizations. Adhering to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, this systematic literature review involved a comprehensive analysis of the Scopus and Web of Science databases, yielding 33 relevant studies. These studies, which utilized crisis response strategies as independent, moderating, or mediating variables, were classified into different research domains, including business and management, and communication. Analysis of the literature identified sixteen main themes of crisis response strategies: (1) accommodation-related, (2) bolstering, (3) coping strategies, (4) corporate social responsibility (CSR), (5) corrective action, (6) courtesy, (7) defensive, (8) denial, (9) diminish, (10) evasion of responsibility-related, (11) information strategy, (12) intimidation, (13) rebuild strategies-related, (14) reduction of offensiveness-related, (15) speed, and (16) sympathy, encompassing 28 sub-themes. Quantitative and qualitative analyses provided substantial empirical support for a significant relationship between crisis response strategies and behavioral intentions, including supportive behaviors, purchase intentions, secondary crisis communication, and word of mouth. The paper concludes with a presentation of the results and suggestions for future research directions and organizations.
This study examines conversational business analytics, an approach that utilizes AI to address the technical competency gaps that hinder end users from effectively using traditional self-service analytics. By facilitating natural language interactions, conversational business analytics aims to empower end users to independently retrieve data and generate insights. The analysis focuses on Text-to-SQL as a representative technology for translating natural language requests into SQL statements. Developing theoretical models grounded in expected utility theory, this study identifies the conditions under which conversational business analytics, through partial or full support, can outperform delegation to human experts. The results indicate that partial support, focusing solely on information generation by AI, is viable when the accuracy of AI-generated SQL queries leads to a profit that surpasses the performance of a human expert. In contrast, full support includes not only information generation but also validation through explanations provided by the AI, and requires sufficiently high validation effectiveness to be reliable. However, user-based validation presents challenges, such as misjudgment and rejection of valid SQL queries, which may limit the effectiveness of conversational business analytics. These challenges underscore the need for robust validation mechanisms, including improved user support, automated processes, and methods for assessing quality independent of the technical competency of end users.
The waste problem is still becoming a big concern in Indonesia. Waste, especially plastic waste comes from single-use packaging of daily necessities such as personal care and home care. PT. Siklus Refil Indonesia or Siklus, a retail company, comes to offer a sustainable solution of buying daily necessities by refill method. Since April 2020, Siklus has operated in the Greater Jakarta area and already impacted 20,000 customers. However, Siklus must change its new business model due to regulation from the Food and Drug Supervisory Agency (BPOM) that warned the company not to sell personal care who come in direct contact with skin. The warning impacted the decreasing customers, sales, and profit of Siklus. This research has the purpose of determining the new business model of Siklus using the design thinking concept. By this concept, this research empathizes with customers, defines customer needs, and ideates a business model. This research continues to decide the new business model by creating a matrix of stepwise selection. Then this research does a prototype business model and tests the new business model. After doing the process, Return from Home is selected as the new business model for Siklus.
PURPOSE: This study explores the association between sustainable business practices (SBP) and turnover intention (TI) to understand the role of sustainability initiatives in influencing employee retention and organizational commitment. METHODOLOGY: The present study conducted a systematic literature review (SLR) following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement. From an initial selection of 326 articles, a rigorous double-blind screening process identified 31 key papers for in-depth analysis. FINDINGS: The systematic review provides compelling evidence that SBP have a robust positive association with employee outcomes, especially in reducing TI. This relationship is notably mediated by job satisfaction and organizational commitment and moderated by psychological safety and ethical leadership elements. Further, key gaps were discerned, including the necessity to explore the varied impact of SBP across industries, the enduring effects of SBP on TI, the influence of cultural and contextual facets, and the urgency for methodological advancements in cross-cultural research. In response to these gaps, four hypotheses were conceptualized to provide deeper insights into the complex interplay between SBP, TI, and overarching cultural/contextual variables. IMPLICATIONS: Theoretically, this research adds to the existing literature by empirically validating the relationship between SBP and TI, highlighting critical mediators and moderators, and suggesting avenues for future research. Incorporating the identified gaps and proposed hypotheses provides a structured direction for subsequent investigations. The findings emphasize the importance of integrating SBP into organizational strategies to promote sustainability while enhancing workforce well-being and retention. Organizations can align with sustainability goals and boost employee satisfaction by focusing on organizational commitment, open communication, and leadership grounded in ethical and sustainable principles. ORIGINALITY AND VALUE: This research provides a comprehensive overview of the interplay between SBP and TI, integrating insights from various studies. By emphasizing understudied mediators and moderators, identifying research gaps, and outlining derived hypotheses, the study sets the stage for future inquiries. Its practical recommendations are essential for organizations that balance sustainability goals with workforce stability, benefiting organizational performance and employee satisfaction.
South Korea has become one of the most important economies in Asia. The largest Korean multinational firms are affiliated with influential family-owned business groups known as the chaebol. Despite the surging academic popularity of the chaebol, there is a considerable knowledge gap in the bibliometric analysis of business groups in Korea. In an attempt to fill this gap, the article aims to provide a systematic review of the chaebol and the role that business groups have played in the economy of Korea. Three distinct bibliometric networks are analyzed, namely the scientific collaboration network, bibliographic coupling network, and keyword co-occurrence network.
What-if analysis (WIA) is essential for data-driven decision-making, allowing users to assess how changes in variables impact outcomes and explore alternative scenarios. Existing WIA research primarily supports the workflows of data scientists and analysts, and largely overlooks business professionals who engage in WIA through non-technical means. To bridge this gap, we conduct a two-part user study with 22 business professionals across marketing, sales, product, and operations roles. The first study examines their existing WIA practices, tools, and challenges. Findings reveal that business professionals perform many WIA techniques independently using rudimentary tools due to various constraints. We then implement representative WIA techniques in a visual analytics prototype and use it as a probe to conduct a follow-up study evaluating business professionals' practical use of the techniques. Results show that these techniques improve decision-making efficiency and confidence while underscoring the need for better data preparation, risk assessment, and domain knowledge integration support. Finally, we offer design recommendations to enhance future business analytics systems.
Supriyono, Theodora Cicelia Khristi, Ugy Soebiantoro
et al.
Community service activities carried out in the form of hybrid training were carried out intensively for 2 days. Business Writing Skill Training Activities are one of the basic skills that are indispensable in the business world. By mastering business writing, students will increase their credibility and professionalism later in the work environment. This training activity that is used to improve the effectiveness of skills in business writing must of course contain clear, relevant, and easy-to-read information for students. Business writing includes emails, letters, reports, brochures, presentation slides, social media, and other business documents. Business Writing is always needed in internal communication with colleagues and leaders or externally even with parties outside the organization or clients, this activity will discuss thoroughly about business writing to be able to improve student competence. All participants in this activity amounted to 50 people with a range of semester 5 and semester 7, even alumni of UPN Veterans of East Java and most of them were interns from PT.SBU's abdimas partners can also take part in this activity. Method activity which used in devotion to Public this is method lectures, question and answer, discussion and practice. Evaluation of activities in this community service is the aspect of knowledge and sustainable skills. Keywords: Business Writing; Integrated Marketing Communications; Social Media; Time Management
In light of pedagogical innovation, this study reports a two-stage survey with 172 participants from English-major and non-English-major programs on their needs of production-oriented approach and perceptions of effective implementation strategies in business English courses at a Chinese university. The results of the study suggest that while the two student groups used different learning methods, both valued communication with native speakers. While the two groups had different needs in business English reading, writing, and speaking activities, they also preferred listening to business news broadcasts. The two groups liked learning in case studies and case-based methodology. Based on the needs, a production-oriented teaching procedure is designed. For teaching activities, the students preferred simulation and role-play. As to their favorite teaching and learning materials, English-majors mentioned English news reading and videos, whereas non-English-majors liked theme-based reading materials. For curriculum adaptation and post-course practice, they suggested using communicative activities and more recent cases. The majority of the groups considered the teaching activities, materials, and activities as effective. Based on the different needs and perceptions, effective and tailored implementation strategies for a production-oriented approach in business English courses for the two student groups at this Chinese university context are suggested. Informed by production-oriented pedagogical theories, the results of the study may have significant implications for business English teaching reform and theoretical development in Chinese universities as well as other cultural and education settings in further innovating and refining the teaching and learning process.
Reshminder Kaur Satvindar Singh, C. Cheong, N. A. Rahman
The need to investigate the communication skills of specific participants usually arises upon demand from the stakeholders, including the employers, passengers, clients and others. The common reasons for stakeholders to consult course developers or language practitioners regarding developing a specific purpose course include poor language proficiency and lack of professional communication skills amongst personnel whose jobs require efficient communication. The needs analysis (NA) method is often used to explore the necessary communication skills at the workplace, including business, medical and aviation. In aviation, the aviation English program content is based on the stakeholders’ communication requirements. Having said that, there are two main objectives of this study. Firstly, this study aims to investigate the importance of English as a medium for communication amongst AVM personnel serving in local and foreign-based companies within Malaysia. Secondly, it aims to determine the spoken and written communication activities that aviation management personnel are frequently involved in the aviation industry. Based on the findings, the NA revealed that the English language is vital in developing professional communication skills among AVM trainees as they require English proficiency for speaking and writing activities.
Because few studies of disciplinary business writing have examined whether language features play a role in instructor assessment of student writing, this study explored the relationship between student language use and instructor essay scores. Undergraduate business students wrote a case study critique as part of their final exam, and their critiques were evaluated by their instructors for theory integration and essay structure. Student language use was analyzed in terms of error rate, lexical sophistication, lexical diversity, and phrasal complexity. Whereas lexical sophistication positively predicted instructor scores, error rate was a negative predictor of their assessment of business student writing.
Cet article jette un regard sur les représentations du métier de Community manager au Sénégal. Il dresse un état des lieux de l’émergence de cette activité et la perception qu’une des catégories d’internautes se fait sur elle. En outre, il s’intéresse aux pratiques discursives des community managers en entreprise vis-à-vis de leurs publics/clients à travers leurs échanges sur Twitter. L’analyse des éléments discursifs qui composent 1108 commentaires numériques faites entre le 1er novembre 2019 et le 1er janvier 2020 permet de comprendre la dynamique de valorisation de la marque ainsi que le travail émotionnel de surface effectué par la figure du community manager.
Communication. Mass media, Business communication. Including business report writing, business correspondence
Ngoc Phuoc An Vo, Irene Manotas, Octavian Popescu
et al.
Business Process Management (BPM) is the discipline which is responsible for management of discovering, analyzing, redesigning, monitoring, and controlling business processes. One of the most crucial tasks of BPM is discovering and modelling business processes from text documents. In this paper, we present our system that resolves an end-to-end problem consisting of 1) recognizing conditional sentences from technical documents, 2) finding boundaries to extract conditional and resultant clauses from each conditional sentence, and 3) categorizing resultant clause as Action or Consequence which later helps to generate new steps in our business process model automatically. We created a new dataset and three models solve this problem. Our best model achieved very promising results of 83.82, 87.84, and 85.75 for Precision, Recall, and F1, respectively, for extracting Condition, Action, and Consequence clauses using Exact Match metric.
Juan Nelson Martínez Dahbura, Shota Komatsu, Takanori Nishida
et al.
Social and professional networks affect labor market dynamics, knowledge diffusion and new business creation. To understand the determinants of how these networks are formed in the first place, we analyze a unique dataset of business cards exchanges among a sample of over 240,000 users of the multi-platform contact management and professional social networking tool for individuals Eight. We develop a structural model of network formation with strategic interactions, and we estimate users' payoffs that depend on the composition of business relationships, as well as indirect business interactions. We allow heterogeneity of users in both observable and unobservable characteristics to affect how relationships form and are maintained. The model's stationary equilibrium delivers a likelihood that is a mixture of exponential random graph models that we can characterize in closed-form. We overcome several econometric and computational challenges in estimation, by exploiting a two-step estimation procedure, variational approximations and minorization-maximization methods. Our algorithm is scalable, highly parallelizable and makes efficient use of computer memory to allow estimation in massive networks. We show that users payoffs display homophily in several dimensions, e.g. location; furthermore, users unobservable characteristics also display homophily.
This paper presents an approach to measuring business sentiment based on textual data. Business sentiment has been measured by traditional surveys, which are costly and time-consuming to conduct. To address the issues, we take advantage of daily newspaper articles and adopt a self-attention-based model to define a business sentiment index, named S-APIR, where outlier detection models are investigated to properly handle various genres of news articles. Moreover, we propose a simple approach to temporally analyzing how much any given event contributed to the predicted business sentiment index. To demonstrate the validity of the proposed approach, an extensive analysis is carried out on 12 years' worth of newspaper articles. The analysis shows that the S-APIR index is strongly and positively correlated with established survey-based index (up to correlation coefficient r=0.937) and that the outlier detection is effective especially for a general newspaper. Also, S-APIR is compared with a variety of economic indices, revealing the properties of S-APIR that it reflects the trend of the macroeconomy as well as the economic outlook and sentiment of economic agents. Moreover, to illustrate how S-APIR could benefit economists and policymakers, several events are analyzed with respect to their impacts on business sentiment over time.