How can leaders alleviate employees' workplace anxiety caused by information overload on enterprise social media? Evidence from Chinese employees

PurposeThe purpose of this study is to explore the relationship between information overload and employees' workplace anxiety in the context of enterprise social media (ESM).Design/methodology/approachThis study built a theoretical model to analyze the relationships among employees' perceptions of information overload on ESM, supervisor-subordinate instrumental and expressive ties on ESM and workplace anxiety. PLS-SEM was used to test the model through 219 questionnaires collected online.FindingsThe results revealed that information overload on ESM plays a positive role in employees' workplace anxiety. Supervisor-subordinate instrumental ties based on ESM can weaken the relationship between information overload and employees' workplace anxiety, but expressive ties can strengthen the positive relationship between information overload and workplace anxiety.Originality/valueLittle is known about whether information overload on ESM will affect employees' workplace anxiety and how leaders can mitigate this effect through ESM. Hence, this study developed a theoretical model and conducted an empirical study to open up a research opportunity to examine the relationships among information overload on ESM, supervisor-subordinate instrumental and expressive ties on ESM and employees' workplace anxiety. The study also has the potential to guide organizations in fine-tuning their social media usage strategies.

Synthesis and Evaluation of Antibacterial Properties of Chalcones Derived from Thiophene-2-Carbaldehyde

Chalcone is a simple chemical structure which is present in most of the naturally occurring substances. Many chalcone derivatives are synthesized by Claisen-Schmidt condensation reaction. It is a subject of great research opportunity due to numerous biological activities and convenient synthesis of chalcones. This study aims on synthesizing different α, β unsaturated ketones (chalcones) containing thiophene from thiophene-2-carbaxldehyde and different substituted acetophenones, further evaluating antibacterial activity of synthesized compounds. The synthesized compounds are characterized for their spectral study. From the antibacterial study it was observed that the compounds bearing electron withdrawing group, electron releasing group exhibited excellent to moderate antibacterial activity respectively. These results showed that chalcones incorporated with thiophene have better scopes for further development of the antimicrobial agents.

Opinion mining for national security: techniques, domain applications, challenges and research opportunities

Background Opinion mining, or sentiment analysis, is a field in Natural Language Processing (NLP). It extracts people’s thoughts, including assessments, attitudes, and emotions toward individuals, topics, and events. The task is technically challenging but incredibly useful. With the explosive growth of the digital platform in cyberspace, such as blogs and social networks, individuals and organisations are increasingly utilising public opinion for their decision-making. In recent years, significant research concerning mining people’s sentiments based on text in cyberspace using opinion mining has been explored. Researchers have applied numerous opinions mining techniques, including machine learning and lexicon-based approach to analyse and classify people’s sentiments based on a text and discuss the existing gap. Thus, it creates a research opportunity for other researchers to investigate and propose improved methods and new domain applications to fill the gap. Methods In this paper, a structured literature review has been done by considering 122 articles to examine all relevant research accomplished in the field of opinion mining application and the suggested Kansei approach to solve the challenges that occur in mining sentiments based on text in cyberspace. Five different platforms database were systematically searched between 2015 and 2021: ACM (Association for Computing Machinery), IEEE (Advancing Technology for Humanity), SCIENCE DIRECT, SpringerLink, and SCOPUS. Results This study analyses various techniques of opinion mining as well as the Kansei approach that will help to enhance techniques in mining people’s sentiment and emotion in cyberspace. Most of the study addressed methods including machine learning, lexicon-based approach, hybrid approach, and Kansei approach in mining the sentiment and emotion based on text. The possible societal impacts of the current opinion mining technique, including machine learning and the Kansei approach, along with major trends and challenges, are highlighted. Conclusion Various applications of opinion mining techniques in mining people’s sentiment and emotion according to the objective of the research, used method, dataset, summarized in this study. This study serves as a theoretical analysis of the opinion mining method complemented by the Kansei approach in classifying people’s sentiments based on text in cyberspace. Kansei approach can measure people’s impressions using artefacts based on senses including sight, feeling and cognition reported precise results for the assessment of human emotion. Therefore, this research suggests that the Kansei approach should be a complementary factor including in the development of a dictionary focusing on emotion in the national security domain. Also, this theoretical analysis will act as a reference to researchers regarding the Kansei approach as one of the techniques to improve hybrid approaches in opinion mining.

Flying in the Face of Adversity: a Drosophila -Based Virtual CURE (Course-Based Undergraduate Research Experience) Provides a Semester-Long Authentic Research Opportunity to the Flipped Classroom

A call for the integration of research experiences into all biology curricula has been a major goal for educational reform efforts nationally. Course-based undergraduate research experiences (CUREs) have been the predominant method of accomplishing this, but their associated costs and complex design can limit their wide adoption.

Entrepreneurial Behaviour Identified among SME Members of an International Group with Sustainability-Oriented Strategy

The current development of energy management services is stimulated by a series of factors that are both external and industry-specific. One important external factor is the pressure coming from legal provisions in favour of sustainable development. This qualitative, descriptive research is focused on an international group with a strategic orientation to sustainability. The aim is to analyse the strategic changes of several group members over a period of 15 years (2004–2019) in order to identify their entrepreneurial behaviour (EB), contributing to scarce literature on EB of sustainability-oriented SMEs—medium-sized enterprises, in particular. The methodological approach included both secondary and primary research (direct observation and in-house interviews). The results match the research objectives and research questions in that they are able to identify different types and degrees of enterprise EB (EEB). The findings demonstrated here support a proposed finer EEB typology: independent EEB and induced EEB. Besides the natural limitations of the research (only comprising companies of a group and single industry), the main limitation of the study is its pre-pandemic characteristic, which is also a challenging research opportunity for further post-pandemic studies on EEB. The promising results of this exploratory research on EEB and novel EEB typology proposed should also be tested in more industries. The research results are useful for scholars, company managers, and entrepreneurs as well as for strategists involved in designing sustainable development policies.

Old Books, New Stories: Undergraduate Discovery Fellowships in Special Collections

This spring, Special & Area Studies Collections hosted its first cohort of Undergraduate Discovery Fellows, a research opportunity designed to give students the skills and freedom they need to use our collections for research or creative projects. Under the (virtual) mentorship of SASC curators and staff, three fellows dove into the collections, pursuing individual questions that they wanted to explore. The article features the projects that they worked on during their semester, as well as their reflections on their time in the library and their experience as a group.

Developing and Establishing Biomechanical Variables as Risk Biomarkers for Preventable Gait-Related Falls and Assessment of Intervention Effectiveness

The purpose of this review is to position the emerging clinical promise of validating and implementing biomechanical biomarkers of falls in fall prevention interventions. The review is framed in the desirability of blunting the effects of the rapidly growing population of older adults with regard to the number of falls, their related injuries, and health care costs. We propose that biomechanical risk biomarkers may be derived from systematic study of the responses to treadmill-delivered perturbations to both identify individuals with a risk of specific types of falls, such as trips and slips as well as quantifying the effectiveness of interventions designed to reduce that risk. The review follows the evidence derived using a specific public health approach and the published biomedical literature that supports trunk kinematics as a biomarker as having met many of the criteria for a biomarker for trip-specific falls. Whereas, the efficacy of perturbation training to reduce slip-related falls by older adults appears to have been confirmed, its effectiveness presently remains an open and important question. There is a dearth of data related to the efficacy and effectiveness of perturbation training to reduce falls to the side falls by older adults. At present, efforts to characterize the extent to which perturbation training can reduce falls and translate the approaches to the clinic represents an important research opportunity.

Reporting Technologies and Textual Readability: Evidence from the XBRL Mandate

The eXtensible Business Reporting Language (XBRL) can standardize numerical disclosures and make it easier for computers to process and compare financial reports. This perceived benefit of XBRL has prompted the U.S. Securities and Exchange Commission to mandate that public firms must submit financial statements in the XBRL format as part of their financial reports. Leveraging the research opportunity created by the XBRL mandate, we examine whether financial reporting technologies affect how firms construct textual disclosures. We find that the initial adopters’ HTML-formatted annual reports become harder to read after the XBRL mandate. Further analysis reveals that this effect is concentrated among adopters with more quantitative disclosures, a smaller firm size, or a higher level of financial complexity. Importantly, we show that managers’ reduced attention to preparing HTML-formatted annual reports, rather than increased disclosures, is likely the explanation for this decrease in textual readability. We also find that the negative effect on textual readability persists at least in the subsequent year. Our findings suggest that the XBRL adopters need to pay attention to process optimization and technology enablement to mitigate the possible negative effect of XBRL adoption on the readability of financial reports.

SUPPORTING HUMAN-CENTERED DESIGN IN PSYCHOLOGICALLY DISTANT PROBLEM DOMAINS: THE DESIGN FOR CYBERSECURITY CARDS

Increasingly digital products and services make cybersecurity a crucial issue for designers. However, human-centered designers struggle to consider it in their work, partially a consequence of the high psychological distance between designers and cybersecurity. In this work, we build on the Design for Cybersecurity (DfC) Cards, an intervention to help designers consider cybersecurity, and examine a project-based design course to understand how and why specific DfC cards were used. Three findings result. First, designers found the intervention useful across all design phases and activities. Second, the cards helped design teams refocus their attention on the problem domain and project outcome. Third, we identify a need for support in framing and converging during user research, opportunity identification, and prototyping. We argue that the psychological distance between designers and the problem space of cybersecurity partially explains these findings, and ultimately exacerbates existing challenges in the design process. These findings suggest that design interventions must consider the psychological distance between designer and problem space, and have application in design practice across many complex problem domains.