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

U. Sekaran, Jonathan Bougie

C. Thacker

This experience report presents qualitative findings from a quasi-experimental study at Towson University examining ChatGPT's role as an evaluative partner in a junior-level business communication course. Across 15 course sections taught by five instructors, the intervention embedded AI feedback into the drafting process using rubric-based heuristics, staged integration, and reflective prompts. Post-semester faculty interviews revealed that when scaffolded intentionally, AI feedback reinforced instructor guidance, functioned as a “second reader,” and supported deeper revision, rhetorical awareness, and metacognitive growth—particularly among engaged students. However, instructors also reported uneven engagement, limited feedback literacy, and instances of misuse when students treated AI as a generative shortcut rather than a revision partner. These findings underscore the need for pedagogical guardrails, early integration, and explicit instruction in evaluative prompting. The study positions AI not as a replacement for human feedback but as part of a multi-voiced feedback ecosystem, blending machine and human perspectives to foster clarity, audience awareness, and confidence in student writing.

Galiya Klinkova, Michael Grabinski

Business cycles (a periodic change of e.g. GDP over five to ten years) exist, but a proper explanation for it is still lacking. Here we extend the well-known NAIRU (non-accelerating inflation rate of unemployment) model, resulting in a set of differ-ential equations. However, the solution is marginal stable. Therefore we find a nat-ural sinusoidal oscillation of inflation and unemployment just as observed in busi-ness cycles. When speculation is present, the instability becomes more severe. So we present for the first time a mathematical explanation for business cycles. The steering of central banks by setting interest rates to keep inflation stable and low needs an overhaul. One has to distinguish between real monetary instability and the one caused naturally by business cycles.

Hoang Vu, Henrik Leopold, Han van der Aa

Many organizations strive to increase the level of automation in their business processes. While automation historically was mainly concerned with automating physical labor, current automation efforts mostly focus on automation in a digital manner, thus targeting work that is related to the interaction between humans and computers. This type of automation, commonly referred to as business process automation, has many facets. Yet, academic literature mainly focuses on Robotic Process Automation, a specific automation capability. Recognizing that leading vendors offer automation capabilities going way beyond that, we use this paper to develop a detailed understanding of business process automation in industry. To this end, we conduct a structured market analysis of the 18 predominant vendors of business process automation solutions as identified by Gartner. As a result, we provide a comprehensive overview of the business process automation capabilities currently offered by industrial vendors. We show which types and facets of automation exist and which aspects represent promising directions for the future.

Romadhon Romadhon

The integration of Artificial Intelligence (AI) in educational contexts has garnered increasing interest, particularly regarding its potential to enhance language learning. This study examines the perceptions of students learning English for Specific Purposes (ESP) towards the use of ChatGPT, an advanced conversational AI, for writing business emails. This investigation forms part of a broader experimental research project that explores the impact of ai tools on their motivation and writing performance. These students, who are specializing in various fields requiring specific English language skills, were selected based on their engagement in writing business communications, a critical aspect of their ESP curriculum. The data collection was conducted through an online questionnaire distributed via Google Forms. The questionnaire was designed to capture a comprehensive range of perceptions, including the students' attitudes towards ChatGPT, their experiences using the tool, and the perceived benefits and challenges. The findings of the study indicate that the students generally hold positive perceptions towards the use of ChatGPT for writing business emails. A significant majority of participants reported that the AI tool enhanced their learning experience, making it more enjoyable and engaging. Despite these positive perceptions, the study also uncovered several considerations for the integration of AI tools like ChatGPT into writing classes. One notable concern raised by students was the potential over-reliance on AI-generated content. Some participants expressed worries that excessive dependence on ChatGPT might hinder the development of their independent writing skills.

Jan Holeš, Zuzana Honová

Treatment of pharmaceutical terminology in the digitized version of the Dictionnaire de l’Académie française. This article aims to examine the treatment of pharmaceutical terms in the digitized version of the Dictionnaire de l’Académie française on the example of pharmacy terminology. After a brief presentation of the dictionary microstructure and its current edition, the authors describe the terms marked as belonging to the field of pharmacy, presenting the reasons of these changes, the appearance and disappearance of the terms, the migration of terms between several fields, the passage of words from the common language into terminology and vice versa. The article also shows certain inconsistencies in the treatment of terminology in the Dictionnaire de l’Académie française.

Jeanette Landgrebe

Virtual influencer marketing is a global emerging phenomenon in social media research. Research on traditional influencer marketing and practices has been the locus of attention for years, but fairly scarce research deals with the rise and influence of virtual influencers, also known as artificial intelligence influencers (AIIs) or computer-generated influencers (CGIs). In this article, an explorative, qualitative single case analysis of the Japanese CGI influencer Imma is presented to identify how the CGI is visually constructed on Instagram in a marketing campaign. Two supplementary semiotic lenses are applied, i.e. a visual compositional analysis and a semiotic image analysis. The results indicate that the CGI influencer Imma is visually presented by and large with the same characteristics and attributes as found in similar studies of human influencers. Moreover, the findings indicate subtle yet essential differences in the visual framing of the CGI character to enhance a human-like appearance. Concludingly, this study has preliminary implications for research, practitioners, prospective marketers, and future innovation leaders in the virtual marketing industry, and it is proposed to consider reconceptualizing our understanding of virtual influencers and acknowledging the rise of Virtual Influencer Marketing as a field in its own right.

Son The Nguyen, Theja Tulabandhula

Generative models (foundation models) such as LLMs (large language models) are having a large impact on multiple fields. In this work, we propose the use of such models for business decision making. In particular, we combine unstructured textual data sources (e.g., news data) with multiple foundation models (namely, GPT4, transformer-based Named Entity Recognition (NER) models and Entailment-based Zero-shot Classifiers (ZSC)) to derive IT (information technology) artifacts in the form of a (sequence of) signed business networks. We posit that such artifacts can inform business stakeholders about the state of the market and their own positioning as well as provide quantitative insights into improving their future outlook.

T. Salynskaya, I. G. Tuchkova, A. A. Yasnitskaya

Employees’ ability to interact with international business partners in writing determines the success of their work, but difficulties conducting business correspondence in a foreign language complicate this process. The study aims to assess undergraduate students’ readiness for participation in intercultural written communication in a foreign language. The initial research data included the English language proficiency level for 169 undergraduate economics and management students and a list of difficulties performing written assignments. The study determined the degree of students’ awareness of how to write a business letter and readiness to conduct intercultural written communication. The level of the readiness was divided into high (8.88%), medium (66.27%), and low (24.85%). Such levels are enough for development of the students’ writing skills.

Victoria Susanne Nydegger Schrøder

When organisations implement corporate values as a managerial tool, the Corporate Value Statement (CVS) is a central piece of corporate communication. Nevertheless, little research has been done on the linguistic aspect of the CVS in international settings. In this article, I study the case of Keolis, a French multinational corporation that empowers subsidiaries to translate and adapt the Group’s CVS to local business contexts, resulting in radically rewritten subsidiary versions. I propose a linguistic and discourse analytical approach to identify translation shifts between the headquarters’ CVS in English, and local versions in Denmark and in India. I also investigate which contextual and cultural factors may have contributed to these shifts. Findings suggest that subsidiaries use the value terms as vessels to be filled with corporate content of their choice. Contributing to a translatorial turn in international business and organisation studies, this paper illustrates how applied linguistics may inform management practice.

Rafał Masłyk, Kinga Skorupska, Piotr Gago et al.

The main goal of this paper is to discuss how to integrate the possibilities of crowdsourcing platforms with systems supporting workflow to enable the engagement and interaction with business tasks of a wider group of people. Thus, this work is an attempt to expand the functional capabilities of typical business systems by allowing selected process tasks to be performed by unlimited human resources. Opening business tasks to crowdsourcing, within established Business Process Management Systems (BPMS) will improve the flexibility of company processes and allow for lower work-load and greater specialization among the staff employed on-site. The presented conceptual work is based on the current international standards in this field, promoted by Workflows Management Coalition. To this end, the functioning of business platforms was analysed and their functionality was presented visually, followed by a proposal and a discussion of how to implement crowdsourcing into workflow systems.

Bibiana Rendón Álvarez, Edilberto Montaño Orozco, Ximena Sánchez Mayorga

This article aims to clarify the concept of responsibility in the preparation, elaboration and presentation of financial statements in companies and their relationship with those in charge of legal representation (administrator) and the public accountant, as well as assess the degree of appropriation of the subject by students of the undergraduate academic programs of Business Administration and Public Accounting of two universities in the city of Santiago de Cali, Colombia.It includes theoretical, normative and conceptual aspects that allow, both the academic community linked to the administrative and economic sciences, and professionals related to business, to understand, comply with the respective regulations and specify the inherent responsibility for this legal requirement. For the assessment of the domain of the subject, surveys were applied to students of said academic programs. The study concludes that the students of the undergraduate programs of Business Administration and Public Accounting of the aforementioned institutions are unaware of or lack clarity regarding their fundamental role in the preparation and presentation of financial statements and the applicable regulatory framework

Shafi Kamalbasha, Manuel J. A. Eugster

Controlled experiments (A/B tests or randomized field experiments) are the de facto standard to make data-driven decisions when implementing changes and observing customer responses. The methodology to analyze such experiments should be easily understandable to stakeholders like product and marketing managers. Bayesian inference recently gained a lot of popularity and, in terms of A/B testing, one key argument is the easy interpretability. For stakeholders, "probability to be best" (with corresponding credible intervals) provides a natural metric to make business decisions. In this paper, we motivate the quintessential questions a business owner typically has and how to answer them with a Bayesian approach. We present three experiment scenarios that are common in our company, how they are modeled in a Bayesian fashion, and how to use the models to draw business decisions. For each of the scenarios, we present a real-world experiment, the results and the final business decisions drawn.

Steve T. K. Jan, Vatche Ishakian, Vinod Muthusamy

Business processes underpin a large number of enterprise operations including processing loan applications, managing invoices, and insurance claims. There is a large opportunity for infusing AI to reduce cost or provide better customer experience, and the business process management (BPM) literature is rich in machine learning solutions including unsupervised learning to gain insights on clusters of process traces, classification models to predict the outcomes, duration, or paths of partial process traces, extracting business process from documents, and models to recommend how to optimize a business process or navigate decision points. More recently, deep learning models including those from the NLP domain have been applied to process predictions. Unfortunately, very little of these innovations have been applied and adopted by enterprise companies. We assert that a large reason for the lack of adoption of AI models in BPM is that business users are risk-averse and do not implicitly trust AI models. There has, unfortunately, been little attention paid to explaining model predictions to business users with process context. We challenge the BPM community to build on the AI interpretability literature, and the AI Trust community to understand

Tobias Heindel, Ingo Weber

Many definitions of business processes refer to business goals, value creation, or profits/gains of sorts. Nevertheless, the focus of formal methods research on business processes, like the well-known soundness property, lies on correctness with regards to execution semantics of modeling languages. Among others, soundness requires proper completion of process instances. However, the question of whether participants have any interest in working towards completion (or in participating in the process) has not been addressed as of yet. In this work, we investigate whether inter-organizational business processes give participants incentives for achieving the common business goals---in short, whether incentives are aligned with the process. In particular, fair behavior should pay off and efficient completion of tasks should be rewarded. We propose a game-theoretic approach that relies on algorithms for solving stochastic games from the machine learning community. We describe a method for checking incentive alignment of process models with utility annotations for tasks, which can be used for a priori analysis of inter-organizational business processes. Last but not least, we show that the soundness property corresponds to a special case of incentive alignment.

Yara Rizk, Abhishek Bhandwalder, Scott Boag et al.

Business process automation is a booming multi-billion-dollar industry that promises to remove menial tasks from workers' plates -- through the introduction of autonomous agents -- and free up their time and brain power for more creative and engaging tasks. However, an essential component to the successful deployment of such autonomous agents is the ability of business users to monitor their performance and customize their execution. A simple and user-friendly interface with a low learning curve is necessary to increase the adoption of such agents in banking, insurance, retail and other domains. As a result, proactive chatbots will play a crucial role in the business automation space. Not only can they respond to users' queries and perform actions on their behalf but also initiate communication with the users to inform them of the system's behavior. This will provide business users a natural language interface to interact with, monitor and control autonomous agents. In this work, we present a multi-agent orchestration framework to develop such proactive chatbots by discussing the types of skills that can be composed into agents and how to orchestrate these agents. Two use cases on a travel preapproval business process and a loan application business process are adopted to qualitatively analyze the proposed framework based on four criteria: performance, coding overhead, scalability, and agent overlap.

Rodrigo Rebouças de Almeida, Rafael do Nascimento Ribeiro, Christoph Treude et al.

Incorporating the business perspective into prioritizing technical debt is essential to contribute to decision making in industry. In this paper, we evolve and evaluate a business-driven approach for technical debt prioritization. The approach was evaluated during a five-month industrial case study with business and technical stakeholders' active participation. The results show that the approach contributed to aligning business criteria between the business and technical stakeholders. We also observed a downward trend in the amount of technical debt that affects high-value business assets. Moreover, we identified eight business factors that affect the decision making related to the prioritization of technical debt. The study results suggest that the proposed business-driven technical debt prioritization approach can help teams to focus their efforts on paying off the business' most relevant debt.

S. J. Kowalewski, Magdalene E. Halasz

Notwithstanding the availability of business writing instruction in academia, employers continue to voice their concerns about the significant gap between their expectations for employees’ writing skills and the actual skills employees possess (Lentz, 2013). Organizations are reporting lower levels than “meet expectations” related to employees’ written communication skills at the time an employee is hired (Suvedi, M., Ghimire, R.P., & Millenbach, K.F., 2016). Consequently, employers spend a considerable amount on remedial training to address the poor writing skills among their employees (White, A.V., 2015). Employers expect that written communication skills are taught in college. Data demonstrates, however, that this is not occurring or at least not to the level of competence that employers are seeking (Carnes, L., Awang, F., & Smith, H., 2015). Colleges and universities need to evaluate their curriculum and outcomes; integrating new initiatives into the curricula and programs to improve the written communication skills of their students.

Neha Soni, Enakshi Khular Sharma, Narotam Singh et al.

The fast pace of artificial intelligence (AI) and automation is propelling strategists to reshape their business models. This is fostering the integration of AI in the business processes but the consequences of this adoption are underexplored and need attention. This paper focuses on the overall impact of AI on businesses - from research, innovation, market deployment to future shifts in business models. To access this overall impact, we design a three-dimensional research model, based upon the Neo-Schumpeterian economics and its three forces viz. innovation, knowledge, and entrepreneurship. The first dimension deals with research and innovation in AI. In the second dimension, we explore the influence of AI on the global market and the strategic objectives of the businesses and finally, the third dimension examines how AI is shaping business contexts. Additionally, the paper explores AI implications on actors and its dark sides.

Dietmar Jannach, Michael Jugovac

Recommender Systems are nowadays successfully used by all major web sites (from e-commerce to social media) to filter content and make suggestions in a personalized way. Academic research largely focuses on the value of recommenders for consumers, e.g., in terms of reduced information overload. To what extent and in which ways recommender systems create business value is, however, much less clear, and the literature on the topic is scattered. In this research commentary, we review existing publications on field tests of recommender systems and report which business-related performance measures were used in such real-world deployments. We summarize common challenges of measuring the business value in practice and critically discuss the value of algorithmic improvements and offline experiments as commonly done in academic environments. Overall, our review indicates that various open questions remain both regarding the realistic quantification of the business effects of recommenders and the performance assessment of recommendation algorithms in academia.