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Drawing on the marketing aspects of customer satisfaction, this paper provides insights into the relationship between students’ and lecturers’ satisfaction in a higher education institution. The study critically adopts the logic of relationship marketing, arguing that students’ satisfaction affects lecturers’ job satisfaction. The relationship between students’ and lecturers’ satisfaction is explored using Balance Theory and Herzberg’s Motivation Theory. The Critical Incident Technique is used for data collection through interviews with student-lecturer dyads. The findings indicate that lecturers’ job satisfaction increases when students’ holistic feedback is explicitly shared with lecturers. Hence, investing in the communication of students’ satisfaction enhances lecturers’ job satisfaction. The current work adds a critical perspective to the relationship between lecturers’ and students’ satisfaction. It highlights a reversal of the accepted logic of relationship marketing, arguing that students’ satisfaction affects lecturers’ satisfaction. The methodological contribution of this work offers a new approach to using critical incident analysis techniques in dyads of students and lecturers. [ABSTRACT FROM AUTHOR]

The rapid development of digital technology and its ease of use has changed the competitive environment for traditional manufacturing. The study focuses on the central issues of the evolution of the digital transformation (DT) process. This paper proposes a theoretical framework of digital transformation in traditional manufacturing based on environment, people, organisation, and technology synergy. We chose a large textile company in China as a case to explore the process of DT practices in the traditional manufacturing industry. The results of the study showed that data accessibility has a positive impact on a strategic responsiveness during organisation’s DT, driven by data, information, knowledge and wisdom synergy. In the process of DT, the availability of information positively impacts the industry and the social well-being of an organisation. DT has a negative impact on individual willingness to share outlier knowledge and employee role perceptions. This study is both a complement to the deconstruction of the mechanism of DT in the manufacturing industry, and a new attempt to tap the laws of digital technology in the knowledge age. [ABSTRACT FROM AUTHOR]

Discusses various aspects of foreign investment in Bangladesh. Investment by foreign firms during the 19th century in transportation, jute and tea planting; Transnational companies; Foreign firms and oil exploration; Bangladesh as one of the forty-nine low-income countries of the world; The Foreign Private Investment (Promotion and Protection) Act, 1980 of Bangladesh.

The paper examines whether the structure of the risk factor disclosure in an IPO prospectus helps explain the cross-section of first-day returns in a sample of Chinese initial public offerings. This paper analyzes the semantics and content of risk disclosure based on an unsupervised machine learning algorithm. From both long-term and short-term perspectives, this paper explores how the information effect and risk effect of risk disclosure play their respective roles. The results show that risk disclosure has a stronger risk effect at the semantic novelty level and a more substantial information effect at the risk content level. A novel aspect of the paper lies in the use of text analysis (semantic novelty and content richness) to characterize the structure of the risk factor disclosure. The study shows that initial IPO returns negatively correlate with semantic novelty and content richness. We show the interaction between risk effect and information effect on risk disclosure under the nature of the same stock plate. When enterprise information transparency is low, the impact of semantic novelty and content richness on the IPO market is respectively enhanced. [ABSTRACT FROM AUTHOR]

This study delves into the strategies employed by small and medium-sized enterprises (SMEs) to embed digital technology into their business models, aiming to reach carbon neutrality. We offer a comprehensive analysis of five high technology SMEs, unveiling an evolutionary process model that highlights their journey toward integrating technology. The integration process is delineated into three progressive stages. Initially, digital technology is seen as an 'enabler' that promotes the birth of an innovative business model, essentially transforming the mechanisms of value creation, delivery, and capture. As SMEs evolve to an intermediate stage, digital technology becomes a 'disruptor', reshaping and reinventing the business model in terms of how value is created, delivered, and captured. Entering the maturity stage, digital technology is elevated to the role of 'expertise', leading to a sophisticated business model that refines and optimizes these aspects of value. The influence of these business model innovations on carbon neutrality is complex and varies distinctly with each stage, reflecting the dynamic interplay between digital technology and business model evolution. • This study explores the unique strategies SMEs implement to weave DT into their business model innovation (BMI) with an aim to achieve carbon neutrality. • The paper presents an evolutionary process model that sheds light on this integration journey, using an in-depth analysis of five high-tech SMEs. • The paper elaborates the relationship between DT and BMI, delving into the integration of DTs and the roles they perform - as enablers, disruptors, and areas of expertise. • The paper provides insights for businesses seeking to leverage digital technologies to drive innovation and growth. [ABSTRACT FROM AUTHOR]

This correction notice addresses an error in the original article titled "Cross-influence of information and risk effects on the IPO market: exploring risk disclosure with a machine learning approach" published in the Annals of Operations Research. The correction pertains to the authors' affiliations, which were mistakenly indicated in the original article. The correct author affiliations are Huosong Xia, Juan Weng, Sabri Boubaker, Zuopeng Zhang, and Sajjad M. Jasimuddin. The correction has been made to the original article. The publisher, Springer Nature, maintains a neutral stance regarding jurisdictional claims and institutional affiliations. [Extracted from the article]