Hasil untuk "Business communication. Including business report writing, business correspondence"

T. Beauchamp, N. Bowie

Found in this Section: 1. Overview of Changes 2. Chapter-by-Chapter Changes 1. Overview of Changes * The 9th edition is thoroughly updated to reflect the best new work in the field and important new trends in business ethics. * New case studies on recent business ethics scandals such as the financial crisis, Wall Street ethics, gay and lesbian rights at work, and the BP Deepwater Horizon disaster are included. (ex. p. 196) * International business ethics issues have been woven throughout the chapters. (ex. p. 536) * MySearchLab with eText can be packaged with this text. * MySearchLab provides engaging experiences that personalize learning, and comes from a trusted partner with educational expertise and a deep commitment to helping students and instructors achieve their goals. * eText - Just like the printed text, you can highlight and add notes to the eText or download it to your iPad. * Assessment - Chapter quizzes and flashcards offer immediate feedback and report directly to the gradebook. * Writing and Research - A wide range of writing, grammar and research tools and access to a variety of academic journals, census data, Associated Press newsfeeds, and discipline-specific readings help you hone your writing and research skills. * Ebsco's ContentSelect - With Ebsco's ContentSelect, students get 24-hour access to abstracts and full-text articles from thousands of scholarly and popular periodicals, including Newsweek, National Review, and USA Today's Magazine - all grouped and organized by subject area. * Research Tutorial - When students click on the research button in MySearchLab, they get a step-by-step tutorial for the entire research process, including understanding the assignment, finding a topic, creating effective notes, how to form a paradigm, and understand and finding source material. * YouDecide - YouDecide activities provide opposing viewpoints in a series of issue-centered debates with accompanying video resources. * Create a Custom Text: For enrollments of at least 25, create your own textbook by combining chapters from best-selling Pearson textbooks and/or reading selections in the sequence you want. To begin building your custom text, visit www.pearsoncustomlibrary.com. You may also work with a dedicated Pearson Custom editor to create your ideal text-publishing your own original content or mixing and matching Pearson content. Contact your Pearson Publisher's Representative to get started. 2. Chapter-by-Chapter Changes Chapter 1: Ethical Theory and Business Practice * This introductory chapter has been thoroughly updated. * Three new case studies facilitate discussion of ethical theories. Chapter 2: The Purpose of the Corporation * New coverage of ethical cultures and moral responsibility is included. * New case on BP and the Deepwater Horizon disaster is featured. Chapter 3: Ethical Treatment of Employees * New coverage of whistle-blowing is included in this chapter. Chapter 4: Diversity and Discrimination in the Workplace * The coverage of affirmative action and diversity has been updated. * A new case on gay and lesbian rights at work is featured. Chapter 5: Marketing and the Disclosure of Information * This chapter features expanded coverage of pharmaceutical marketing. Chapter 6: Ethical Issues in Finance and Accounting * New coverage of Wall Street ethics, insider trading, and predatory lending and the financial crisis is included. Chapter 7: Ethical Issues Regarding Emerging Technologies * New coverage of social media and internet privacy is included. Chapter 8: Environmental Sustainability * Three new articles on environmental sustainability are featured. * New cases on best practices in sustainability are included. Chapter 9: Ethical Issues in International Business * Updated articles and cases are included. Chapter 10: Social and Economic Justice * New coverage of the financial crisis and executive competition is included. * New case studies on base of the pyramid strategies are featured.

N. Todorova

In the context of digital transformation and increasing competition in higher education, the development and management of the corporate identity of research institutions is becoming a strategic issue. The aim of this report is to analyze the corporate identity of Science & Research at the University of Economics – Varna by applying Natural Language Processing (NLP) methods, assessing how the institution is presented and perceived in the academic and business environment. The scope of the study is limited to the analysis of text data from scientific projects and official communication materials, without including visual or multimedia elements, which is a major research limitation. The research design combines theoretical analysis of corporate identity with empirical research based on an NLP approach. The methodology includes the use of BERT models for emotional and value tone analysis and LDA for identifying the main thematic directions. The results show that linguistic formulation has a significant impact on the perceived institutional identity, with even minimal linguistic changes leading to a significant change in assessments. The main conclusions point to a dominant technological orientation and insufficiently expressed value and humanitarian aspects in communication. The originality of the study lies in the application of NLP as an objective tool for analyzing corporate identity in an academic environment, and its practical implications are expressed in the possibility of optimizing institutional communication and the strategic positioning of research organizations.

Albert Ahenkan, Emmanuel Boon, Scholastica Akalibey et al.

The concept of corporate environmentalism (CE) has gained a lot of global attention in recent years as a potential vehicle to achieve sustainable development. Despite the growing awareness of its importance, there is limited empirical research on the current state of sustainability practices and their implementation among businesses in Ghana. Using a multiple case study design grounded in the qualitative approach, the study dwells on desk reviews of existing literature, corporate sustainability reports, and 10 key informant interviews including policymakers, regulators, academics, and practitioners from diverse industries; this study seeks to examine the (i) drivers and motivators, (ii) prospects, (iii) challenges, and (iv) approaches to scale up CE in Ghana. The results of the study revealed that branding, alignment with the sustainable development agenda, commitment to climate action, stakeholder and regulatory pressure, business resilience, and competitiveness are key drivers motivating companies to adopt environmental sustainability practices. The study identified prospects of CE for companies in Ghana including market demand and consumer awareness. Cost savings and operational efficiency offer significant potential, and access to finance presents opportunities for green initiatives. Reputation and brand enhancement are achievable through sustainability efforts but require consistent communication and stakeholder engagement. However, despite growing momentum, companies face challenges including financial constraints, limited access to environmentally friendly technologies, lack of technical expertise, and weak enforcement of environmental regulations. To overcome these obstacles, the article proposes a number of strategies to advance CE in Ghana.

Md. Jobayer Ibne Saidur

This study examined whether AI-enhanced business intelligence (BI) dashboards measurably improve predictive market strategy in U.S. enterprises. Building on a systematic evidence scan of 138 peer-reviewed papers (2012–2025) and industry reports covering AI-assisted analytics, managerial decision support, and dashboard adoption, we designed and executed a multi-site quantitative evaluation combining a cluster randomized controlled trial with complementary observational analyses. The AI dashboard integrated model-generated demand forecasts, prescriptive nudges, and natural-language querying; the control condition used feature-parity descriptive BI without predictive or prescriptive components. Primary outcomes focused on forecast accuracy (MAPE and RMSE), with secondary endpoints including decision cycle time, campaign ROI, and monthly revenue growth. Mediation by user adoption (feature-use rate) and moderation by data maturity, firm size, and market volatility were pre-specified. Across participating business units, AI dashboards produced a statistically significant improvement in forecast accuracy (ATE −2.5 percentage points in MAPE), reduced decision cycle time (−18.2 hours), and increased campaign ROI (+13.6 pp) and revenue growth (+1.8 pp). Approximately one-third of the accuracy gain was mediated by adoption intensity, indicating behavioral uptake as a key pathway from capability to performance. Effects were larger in data-mature environments, while size and volatility showed limited moderating influence after multiplicity control. Rolling-origin back tests and Diebold–Mariano tests confirmed predictive uplift versus baseline models, and calibration diagnostics indicated reliable uncertainty communication. Sensitivity analyses (Did, quantile treatment effects, and per-protocol) supported robustness. Taken together, findings from both the empirical trial and the 138-paper evidence base suggest that AI-enhanced dashboards yield operationally meaningful gains with modest latency/complexity costs, translating into more accurate forecasts, faster decisions, and improved commercial outcomes. The study provides implementation guidance for enterprise rollout, emphasizing standardized onboarding, telemetry-informed adoption support, and governance practices to sustain performance.

Ali Zeytoon-Nejad

Business growth is a goal of great importance for its both private and social benefits. Many firms view business growth as an imperative for their survival, stability, and long-term success. Business growth can be socially beneficial, too, as it enables businesses to expand into new territories where they can stimulate economic growth and development, creates more jobs, increase living standards, and better serve their communities by giving back more through Corporate Social Responsibility initiatives. Business growth must be planned reasonably and optimally so that it can effectively achieve its critical ambitions in business practice. The current common practices for planning the supply side of business growth are usually ad-hoc and lack well-established mathematical and economic foundations. The present paper argues that business growth planning can be pursued more structurally, reliably, and meaningfully within the framework of Growth Accounting (GA), which was first introduced by Economics Nobel Laureate Robert Solow to study economic growth. It is shown that, although GA was initially put forth as a procedure to explain "economic growth" ex-post, it can similarly be used to plan "business growth" ex-ante when a general backward approach is taken in its procedure-called Backward Growth Accounting (BGA) in this paper. Taking this well-established economic-mathematical approach to planning business growth will enhance the current practices conceptually and structurally, as it is built on the basis of economic logic and mathematical tools. BGA can help businesses identify and plan for key drivers of output growth and assess shortcomings in the growth process, such as poor productivity, inadequate labor utilization, or insufficient capital investment. The paper outlines an eight-step procedure for planning business growth using BGA and includes appendices with real-world examples.

Alex Escalante Viteri, Javier Gamboa Cruzado, Leonidas Asto Huaman

Business intelligence in the banking industry has been studied extensively in the last decade; however, business executives still do not perceive efficiency in the decision-making process since the management and treatment of information are very timeconsuming for the deliverer, generating costs in the process. On the other hand, there is no formal methodology for developing business intelligence solutions in this sector. This work aims to optimize decision-making in a business unit that works with internet banking companies, reducing the time, the number of people, and the costs involved in decision-making. To meet the objective, basic and applied research was conducted. The basic research allowed the construction of a new methodology from a study of critical success factors and approaches from the business intelligence literature. The applied research involved the implementation of a business intelligence solution applying the new methodology in a pre-experimental study. Thirty decision-making processes were analyzed using pre-test and post-test data. Tools such as a stopwatch and observation were used to collect and record data on time spent, the number of people, and the decision-making costs. This information was processed in the specialized Minitab18 statistical software, which allowed the observation and confirmation of relevant results regarding time reduction, the number of people, and the costs generated. Therefore, it was concluded that the business intelligence solution, applying the new methodology, optimized decision making in the business unit that works with internet banking for companies.

Dariusz Baran, Ernest Górka, Michał Ćwiąkała et al.

This paper examines the impact of internal communication on effective business management through a comparative analysis of two medium-sized car rental companies operating in Poland. Using a structured survey completed by 220 employees, the study evaluates 15 communication-related factors, including feedback culture, managerial accessibility, message clarity, and interdepartmental coordination. The findings indicate that Company X significantly outperforms Company Y across all evaluated dimensions, largely due to its use of advanced communication technologies, participatory models, and clear feedback mechanisms. The research highlights the strategic role of two-way communication in fostering employee engagement, organizational transparency, and operational efficiency. It contributes to the field by offering a rare, data-driven comparison within one industry and supports existing models that link internal communication to job satisfaction and motivation. Limitations include reliance on self-reported data and focus on a single industry and country. Future studies are recommended to explore cross-sector and longitudinal perspectives, especially in the context of digital and hybrid work environments.

Ankolika De

This study examines how WhatsApp has evolved from a personal communication tool to a professional platform, focusing on its use by small business owners in India. Initially embraced in smaller, rural communities for its ease of use and familiarity, WhatsApp played a crucial role in local economies. However, as Meta introduced WhatsApp Business with new, formalized features, users encountered challenges in adapting to the more complex and costly platform. Interviews with 14 small business owners revealed that while they adapted creatively, they felt marginalized by the advanced tools. This research contributes to HCI literature by exploring the transition from personal to professional use and introduces the concept of Coercive Professionalization. It highlights how standardization by large tech companies affects marginalized users, exacerbating power imbalances and reinforcing digital colonialism, concluding with design implications for supporting community-based appropriations.

Mohammad Azarijafari, Luisa Mich, Michele Missikoff

Artificial Intelligence agents represent the next major revolution in the continuous technological evolution of industrial automation. In this paper, we introduce a new approach for business process design and development that leverages the capabilities of Agentic AI. Departing from the traditional task-based approach to business process design, we propose an agent-based method, where agents contribute to the achievement of business goals, identified by a set of business objects. When a single agent cannot fulfill a goal, we have a merge goal that can be achieved through the collaboration of multiple agents. The proposed model leads to a more modular and intelligent business process development by organizing it around goals, objects, and agents. As a result, this approach enables flexible and context-aware automation in dynamic industrial environments.

Archith Rapaka

Even software architecture has undergone transformations, with designing to fail being a core idea of the current state of software architecture; the change has been in how to engineer systems that can fail respectfully rather than how to prevent all failures. It is a concise writing that addresses every important principle, pattern, and implementation consideration so that resilient digital platforms can have the integrity to stay operational in the face of unfavorable situations. Kicking off with the business impact of systems outages, the article targets fundamental concepts of resilience architecture such as redundancy, recovery mechanisms, and observability frameworks, all of which form fault-tolerant systems. It explores contemporary resilience trends, including circuit breakers, load shedding, API throttling, and chaos testing that provide systematic responses to the various modes of failures. These patterns can be applied in the domains of e-commerce, financial services, content delivery, and communication, each of which demonstrates the adherence to the universal principles and the changes determined by the particular area. The paper wraps up strategic implementation strategies such as tiered service models, graceful degradation, decentralized state management, and automated recovery testing to ensure that an organization will get the best resilience investment at an optimum point where they can give the critical functions of the organization due protection in the face of the ever-increasing complexity of technology.

Bhagavathi Sathya Satish Kadiyala

The integration of environmental, social, and governance metrics into Enterprise Resource Planning systems represents a transformative approach to corporate sustainability management, fundamentally reshaping how organizations measure, monitor, and report their environmental and social performance alongside traditional financial indicators. This article examines the technological architecture and operational capabilities that enable ERP systems to serve as comprehensive platforms for sustainability data collection, regulatory compliance, strategic planning, and stakeholder communication. By embedding sustainability metrics directly into core business systems, organizations eliminate data silos, automate compliance processes, enable real-time monitoring of environmental impacts across supply chains, and facilitate data-driven decision-making that balances economic objectives with environmental and social responsibilities. The article explores how modern ERP platforms integrate diverse data sources, including sensor networks and supplier information systems, to create unified repositories where sustainability performance receives equivalent analytical rigor as financial metrics, supporting scenario analysis that evaluates the operational and financial implications of sustainability initiatives before resource commitment. Through automated mapping of operational data to regulatory frameworks, configurable reporting templates, and advanced analytics capabilities, integrated ERP systems enable organizations to navigate complex multi-jurisdictional compliance requirements while identifying opportunities for simultaneous environmental and economic improvement. The article demonstrates that transparency enabled through integrated data systems builds stakeholder trust by providing verifiable, granular sustainability information that distinguishes substantive performance from superficial claims, positioning organizations to meet rising expectations from investors, consumers, regulators, and employees. This comprehensive examination reveals that ERP-integrated sustainability management transforms environmental and social considerations from peripheral compliance activities into strategic imperatives embedded within daily operational decision-making, creating organizational capabilities essential for long-term viability in an increasingly sustainability-conscious business environment.

Prathomwat Suraprajit, Pimpisa Chanted, Nipapat Pomat

Logistics plays a vital role in driving the global economy forward. Within this profession, English serves as the primary means of communication. However, not all logistics personnel, especially those for whom English is a second language, find it easy to use. The aim of this research is to conduct a needs analysis for English skills in the logistics industry. A questionnaire was distributed to 156 Thai logistics management students and employed Google Forms together with Microsoft Excel for quantitative analysis. The findings revealed the following: 1) The four core skills (listening, speaking, reading, and writing) and vocabulary were reported extremely important, while grammar was rated as important. 2) The most frequently utilized English skill was reading, the skill most desired to improve was speaking, the skill that lacked the most was grammar, and the skill requiring the greatest development in their future were reading, listening, speaking, and writing, respectively. The implications of this study are significant for the development of English for Specific Purposes (ESP) courses.

Maryna V. Kovbatiuk, Viktoriia V. Shkliar, Dmytro A. Begeka

The communication skills of specialists in international economic relations determine the ease of overcoming linguistic and cultural boundaries in today’s globalized world. As businesses expand into international markets, the demand for professionals with a high level of language competence, including translation and interpretation skills, is high. The article substantiates that translation competence is an integral part of the professional competence of applicants for economic direction, since integration processes and international cooperation increase the requirements for foreign language proficiency not only in the interpersonal sphere, but also in the economic, especially in the field of international business. In the course of the study, the main key challenges and barriers to effective communication in international business are identified and characterized, namely: cultural differences, language barriers, non-verbal communication signals, technological challenges, time zone differences, cross-cultural misunderstandings, translation and interpretation. Emphasis is placed on translation and interpretation, as it is an important tool for facilitating communication between speakers of different languages. Correct translation and interpretation requires not only knowledge of the language, but also cultural competence, understanding of the context and knowledge of the subject. The authors identify the main areas of application of translation and interpretation in international business, including: legal and regulatory documents; financial reports and market analysis results; marketing and promotional materials for international markets; translation of technical specifications, instructions and documentation for products; diplomatic negotiations, international conferences and diplomatic correspondence on economic issues. Thus, translation is an effective tool for effective communication, cooperation and negotiations in international economic relations. By overcoming language barriers, fostering intercultural understanding, and the exchange of information and ideas, translation plays a vital role in promoting economic cooperation, trade liberalization, and sustainable development on a global scale.

Kim Sydow Campbell, Ryan K. Boettger, Val Swisher

Purpose: This teaching case examines challenges in developing technical communication students as organizational leaders managing content strategy through analysis of a graduate course incorporating a client project. Method: Forty-five graduate students enrolled in a content strategy course conducted content audits and assessments for six clients. Their final strategic roadmap reports were analyzed to determine their aptitude for aligning content strategies with business goals. Results: While students adeptly identified technical content quality issues, the majority struggled to connect these to business implications. A minority of students explicitly linked their strategic recommendations to business metrics, such as revenue growth. This outcome suggests a deficiency in achieving the course’s intent to instill a business-oriented approach to content strategy. Conclusion: The case identifies several challenges, including client maturity levels, the intricacy of business contexts, and the ambitious scope of the course’s objectives. Proposed enhancements involve restructuring client interaction, integrating more industry expertise, focusing the project’s reporting component, and refining the course’s aims. These measures aim to strengthen the strategic business thinking and leadership capabilities of technical communication students.

Francesca Accogli

This article addresses the challenges and opportunities posed by the use of machine translation (MT) and post-editing (PE) in the training of legal translators in the Spanish-Italian combination. The aim is to find out whether students who do not have specific training in MT and PE, but a sufficiently developed translation competence, are able to successfully apply the MT and PE concepts learned during a short workshop in their Specialized Translation course and, as a result, produce a satisfactory post-edited translation of acceptable quality. The results show that students have an inward critical attitude towards the use of MT, so they are not influenced by the MT output. Moreover, they have adequate skills to immediately detect not only most of the errors related to concordance and lack of logic, but also the more hidden ones that require a subsequent revision. 

Barbora Chovancova

A general trend in adult education across the disciplines has been the gradual shift from teaching specialized knowledge to developing various skills. The inclusion of professional skills in the area of Languages for Specific Purposes (LSP) is often based on the results of complex needs analyses of the target situation that leads to effective course design both for in-service and pre-service learners. While major law schools have recently started putting a greater emphasis on the training of legal skills, the present article suggests that some of those legal skills can be effectively developed in the ELP (English for Legal Purposes) classroom as well, i.e. among L2 learners of specialist language. That holds particularly for the soft skill of linguistic mediation. Promoted by CEFR, mediation is characterized by the situation when an expert speaker needs to overcome a communicative gap arising from a difference in the technical or linguistic knowledge of the interlocutors. The present article shows how a sample activity can be used for teaching linguistic mediation in the ELP classroom and how it can serve as an opportunity for enhancing students’ critical self-reflection. It describes a custom-made activity – a role-played lawyer-client interview – and analyses students’ subsequent comments on the activity. The paper suggests that self-reflection is deeper if the theory is supplied after the task and that such a practice enhances students’ learning process. It is suggested that the findings are applicable not only to teachers’ syllabus design and classroom activities design but also more generally to pedagogic theory, e.g. the field of LSP teacher training.

Chia-Fu Liu1, Chia-Wei Hsu, Ali Mostafavi

The recovery of businesses after a disaster is vital to community economic resilience, yet the network dynamics influencing the speed and spillover effects of recovery remain poorly understood. Understanding these dynamics is essential for characterizing economic resilience and informing more effective recovery policies. This study explores the extent to which post-disaster business recovery is shaped by network diffusion processes within pre-disaster business dependency networks, driven by visitation behaviors among business points of interest (POIs). We developed a network diffusion model to simulate recovery across businesses in the Louisiana Gulf Coast following Hurricane Ida (2021) and assessed its performance using empirical data. Our analysis focuses on four key areas: (1) the presence of a diffusion process influencing recovery across the business network; (2) variations in how different business types depend on others for recovery; (3) identification of recovery multiplier businesses that accelerate regional recovery; and (4) differences in recovery multipliers across high- and low-income areas. The findings reveal that business recovery is governed by diffusion dynamics in these behavior-based networks, with recovery speed closely linked to pre-disaster visitation patterns. Retail and service businesses are identified as key recovery multipliers whose rapid recovery accelerates the broader business network's recovery, enhancing economic resilience. Additionally, recovery multipliers vary between high- and low-income areas. This study enhances our understanding of network mechanisms in post-disaster recovery and offers valuable insights for improving recovery policies.

J. Middelhuis, R. Lo Bianco, E. Scherzer et al.

Efficient allocation of resources to activities is pivotal in executing business processes but remains challenging. While resource allocation methodologies are well-established in domains like manufacturing, their application within business process management remains limited. Existing methods often do not scale well to large processes with numerous activities or optimize across multiple cases. This paper aims to address this gap by proposing two learning-based methods for resource allocation in business processes to minimize the average cycle time of cases. The first method leverages Deep Reinforcement Learning (DRL) to learn policies by allocating resources to activities. The second method is a score-based value function approximation approach, which learns the weights of a set of curated features to prioritize resource assignments. We evaluated the proposed approaches on six distinct business processes with archetypal process flows, referred to as scenarios, and three realistically sized business processes, referred to as composite business processes, which are a combination of the scenarios. We benchmarked our methods against traditional heuristics and existing resource allocation methods. The results show that our methods learn adaptive resource allocation policies that outperform or are competitive with the benchmarks in five out of six scenarios. The DRL approach outperforms all benchmarks in all three composite business processes and finds a policy that is, on average, 12.7% better than the best-performing benchmark.

Lei Zhao, Miaomiao Zhang

This article mainly introduces how to use various basic emulators to form a combined emulator in the Jiutian Intelligence Network Simulation Platform to realize simulation service functions in different business scenarios. Among them, the combined emulator is included. The business scenarios include different practical applications such as multi-objective antenna optimization, high traffic of business, CSI (channel state information) compression feedback, etc.

Mercedes Bernal Lloréns, Mª Carmen Puigcerver Peñalver, J. P. Sánchez‐Ballesta

In this paper we introduce an innovation activity which consists of a writing competition in a Faculty of Economics and Business at a large university in Spain. This activity allows us to assess the deficiencies that higher education students have in writing reports and to encourage students and staff to be aware of the relevance of written communication for their personal lives and their professional careers. This experience showed us that those students that enrolled in the competition had good marks in a multiple-choice exam with questions about orthography, grammar, punctuation and vocabulary but they found more difficulties in composing their own texts. This suggests that despite the years employed in learning the Spanish language prior to embarking on their higher education courses, the students do not have enough skills to compose texts at the advanced level that corresponds to professionals in Social Sciences. One implication of these findings is that higher education teachers should highlight the relevance of writing properly to their students and develop activities in those fields in which composition is compulsory.