Empirical Study Research Articles

Enhancing missing persons search strategies through technological touchpoints

ABSTRACT The search for the missing persons is a top priority for police, and technology is playing an increasingly important role in increasing the accuracy and rigour of these investigations. This study aims to increase understanding of police decision-making in the missing persons search process and to examine the desired point and level of technology participation from the user's perspective. Three empirical studies and workshops were conducted with police, UX researchers, and computer science researchers. During the workshops, participants developed diagrams to represent police work methods and difficulties and discussed how to identify optimal touch points for technology integration. The findings revealed that the uncertainty of information is the biggest challenge in missing persons search, and that closed-circuit television (CCTV) is a valuable tool. A comparative experiment was conducted to compare the CCTV utilisation investigation strategies of police experts and novices. Findings showed that experts are more efficient and effective in using CCTV to search for missing persons. Experts used their experiential knowledge to interpret information and judge the reliability of information more accurately than novices. Additionally, novices used strategies through rapid repetition of trial and error, while experts made decisions based on experience and intuition, but pursued decision-making based on explicit information. The study concludes by discussing technological approaches for information identification, analysis, and labour replacement in missing person investigations. Such approaches could help overcome the challenge of uncertainty and improve the overall efficiency and effectiveness of these investigations.

Analysis of the Influencing Factors of Farmers’ Willingness to Participate in the Integration of Tea and Tourism—An Empirical Study of Tea Farmers in Emeishan City

This paper is based on a questionnaire survey of 277 tea farmers and the operating enterprises of Jia’e Tea Valley in Emeishan City. Using the theory of deconstructive planning behavior, the influencing factors of the willingness of tea farmers to participate in the integration of tea and tourism are analyzed. In order to unleash the enthusiasm and initiative of tea farmers, promote the organic integration of tea industry and tourism, increase their income, and promote rural revitalization. The results indicate that (1) Behavioral attitudes, subjective norms, and perceived behavioral control have a significant impact on the willingness of tea farmers to participate in the integration of tea and tourism, but the influence of tea tourism integration concepts on tea farmers’ behavioral attitudes is not significant. (2) Individual characteristics such as age, education level, family labor force, and per capita disposable income have a significant impact on tea farmer behavior attitudes, subjective norms, and perceived behavioral control, and have a significant indirect impact on the willingness to participate in tea tourism integration. Therefore, this article suggests that grassroots organizations should play a guiding role and increase publicity on the necessity and feasibility of integrating tea and tourism; Give full play to the leading role of village and community cadres, as well as the exemplary and driving role of tea farmers in the same village; Efforts will be made to enhance the recognition and trust of tea farmers in the enterprises they rely on, increase revenue expectations, expand participation channels, reduce participation thresholds and risks, and make tea farmers feel that they can make progress and gain through tea tourism integration, thereby enhancing their enthusiasm and initiative in participating in tea tourism integration.

Hindrance or facilitator? The economic consequences of national demonstration eco-industrial parks in China.

Many countries attach great importance to the green, low-carbon, and circular development of industrial parks. China is one of them and has entered an exploration journey of national demonstration eco-industrial parks (NDEIPs). However, the impact of the transformation of industrial parks into NDEIPs on local economic development still remains a mystery. To address this issue, we develop an empirical study using a combination of the multi-period difference-in-differences method and the propensity score matching method based on the panel data for 266 cities in China from 2001 to 2021. The results show that industrial parks becoming NDEIPs promotes cities' economic development. This conclusion still holds after a series of robustness tests, such as the reverse causality test and the placebo test. Moreover, the park heterogeneity tests show that the economic consequences vary according to differences in levels, industry types, life cycle phases, and the degree of foreign firm agglomeration. The city heterogeneity tests show that the economic consequences differ based on administrative levels, innovation capabilities, technology industrialization, and environmental friendliness. The spatial heterogeneity tests show that the economic consequences differ according to geographical location and whether situated in the Yangtze River Economic Belt. The policy upgrading heterogeneity tests show that the economic consequences differ during the process of policy upgrading and transformation. In addition, the mechanism tests reveal that green innovation, human capital level, and firm attractiveness mediate the relationship between industrial parks becoming NDEIPs and cities' economic development. This study provides a new perspective for understanding the economic effects of the transformation of industrial parks into NDEIPs, and provides a reference for the government on how to maximize these economic effects.

Analysis of the Influencing Factors of Farmers’ Willingness to Participate in the Integration of Tea and Tourism—An Empirical Study of Tea Farmers in Emeishan City

This paper is based on a questionnaire survey of 277 tea farmers and the operating enterprises of Jia’e Tea Valley in Emeishan City. Using the theory of deconstructive planning behavior, the influencing factors of the willingness of tea farmers to participate in the integration of tea and tourism are analyzed. In order to unleash the enthusiasm and initiative of tea farmers, promote the organic integration of tea industry and tourism, increase their income, and promote rural revitalization. The results indicate that (1) Behavioral attitudes, subjective norms, and perceived behavioral control have a significant impact on the willingness of tea farmers to participate in the integration of tea and tourism, but the influence of tea tourism integration concepts on tea farmers’ behavioral attitudes is not significant. (2) Individual characteristics such as age, education level, family labor force, and per capita disposable income have a significant impact on tea farmer behavior attitudes, subjective norms, and perceived behavioral control, and have a significant indirect impact on the willingness to participate in tea tourism integration. Therefore, this article suggests that grassroots organizations should play a guiding role and increase publicity on the necessity and feasibility of integrating tea and tourism; Give full play to the leading role of village and community cadres, as well as the exemplary and driving role of tea farmers in the same village; Efforts will be made to enhance the recognition and trust of tea farmers in the enterprises they rely on, increase revenue expectations, expand participation channels, reduce participation thresholds and risks, and make tea farmers feel that they can make progress and gain through tea tourism integration, thereby enhancing their enthusiasm and initiative in participating in tea tourism integration.

Teachers’ Views on the Integration of Information and Communication Technology in the Teaching of Slovene (First Language) in Primary School

<p style="text-align:justify">Information and Communication Technology (ICT) brings modern learning approaches, forms and methods to education, and with them new opportunities for learning and teaching. The use of ICT in the classroom motivates students, enables them to participate, provides individualisation and differentiation, interactivity, and encourages creativity and critical thinking. Teachers play a very important role in this, as they are the ones who can provide students with a stimulating learning environment, including through the use of ICT. As Slovene (first language) is the subject with the most teaching hours in public primary schools in the Republic of Slovenia, we conducted an empirical study on the views of general and subject teachers of Slovene (N = 190) on the integration of information and communication technology in teaching. Teachers’ opinions were investigated through quantitative research. We found that teachers frequently use ICT in Slovene lessons, namely for repeating and consolidating learning material and for presenting new learning material, and that ICT is used most often in frontal forms of learning. Teachers mostly use LCD projectors, computers, interactive whiteboards, e-workbooks, audio recordings and videos. We also found that teachers are moderately satisfied with the available ICT equipment and e-materials, and that they feel moderately competent when it comes to using ICT in Slovene lessons. Teachers also used ICT during the COVID-19 epidemic. We also found that there are no statistically significant differences in the use of ICT between teachers teaching Slovene according to their teaching level, age and years of service.</p>

Digital knowledge management effect on enterprise technological innovation: an empirical study from China’s manufacturing industry

ABSTRACT With digital technology permeating across the layers of businesses, digital knowledge management has emerged, transforming the means through which companies acquire, integrate, share, and innovatively apply knowledge. However, the specific impact of digital knowledge management on corporate technological innovation remains unclear. Based on dynamic capabilities theory, this study delves into how digital knowledge management influences corporate technological innovation. Analyzing data from manufacturing companies listed on the Shanghai and Shenzhen stock exchanges from 2007 to 2021, this study confirms that digital knowledge management significantly and positively affects corporate technological innovation by enhancing a company's absorptive capacity, adaptability, and innovation ability. Based on the findings, this study suggests that companies should leverage digital knowledge management to acquire and integrate external innovative resources, seek cooperation opportunities with external stakeholders, and jointly build a mutually beneficial innovation knowledge network, thereby boosting technological innovation capabilities. Additionally, companies should encourage employees to learn digital technologies and create a culture conducive to learning and innovation.

An integrative framework for mapping the psychological landscape of risk perception

We vary greatly in our perception of risk, not just because of differences between risks themselves, but also because of individual, contextual and cultural differences too. To better understand and predict responses to risk, we need to (a) integrate these components, combining approaches from different psychological disciplines and (b) also consider risk tolerance – how individuals trade-off between risks and benefits. We therefore developed an ICONS (individual, contextual, cognitive, social) framework; using it across two empirical studies (n = 4228) to examine how individuals perceive and respond to the quotidian risks associated with consumer products. Three dimensions underlined risk perceptions: benefits, dread and individual responsibility. Risk tolerance was typically predicted by interactions between individual (demographic, cultural worldview, personality) and contextual (product type/category, harm information) factors. In turn, perceived dread, benefits and individual differences shaped how likely participants were to communicate risk information. Our results demonstrate for the first time how the interaction between individual, cognitive (risk tolerance, intensity), contextual, and social (risk communication) factors is key to understanding and predicting risk perceptions. Together, our findings help explain why societal responses to risks are often difficult to predict and have implications for the spread, and amplification, of risk information.

International container intermodal competitiveness: An empirical study from Chinese hub ports

The global energy crisis and environmental degradation have prompted ports to strive for green transformation. Intermodal transport, as a green and efficient form of organization in the transport sector, currently has a lot of room for development. How can the competitiveness of intermodal transport be enhanced while realizing the green sustainability of ports? This study objectively evaluates the competitiveness of international container intermodal competitiveness of hub ports and analyzes the characteristics of 16 Chinese ports from 2011 to 2020. The obstacle degree model (ODM) and the panel Tobit model considering random effects are utilized to explore the complex multidimensional elements affecting the competitiveness of intermodal transport in ports. In addressing the imbalanced characteristics of intermodal transport in ports, a variety of augmentation pathways are devised using the dynamic multi-time period fuzzy-sets qualitative comparative analysis (fsQCA) method. The results found that: (1) The competitiveness of intermodal transport in ports shows a “three echelons” structure, requiring the implementation of appropriate augmentation strategies. (2) Elements affecting the competitiveness of intermodal transport in ports are multidimensional, underscoring the significance of holistically considering internal and external elements. (3) The key to enhancing the competitiveness of intermodal transport in ports lies in striking a balance between economic development and prudent attention to multiple dimensions to ensure sustainability. This study enriches the empirical research on intermodal transport in ports. It provides valuable references for ports seeking new avenues of growth and for governments with effective management practices.

Linking organisational learning, performance, and sustainable performance in universities: an empirical study in Europe

Universities are facing changes that could be adapted by learning. Organisational learning helps universities in attaining better organisational and sustainable performance. The study aims to combine and explore how organisational learning culture enables organisational learning to contribute to better organisational performance and better sustainable performance, following the natural resource-based view and organisational learning theory. The study examines the relationship between organisational learning culture, organisational learning, organisational performance, and sustainable performance in the university context from university teachers. The author collected 221 surveys from public university teachers in Europe to test the model. The results indicate a positive relationship between organisational learning culture and organisational learning. In addition to that, the positive relationship between organisational learning and organisational performance is indicated. Moreover, the results indicate a positive relationship between organisational learning and sustainable performance. The results also show that the organisational learning process mediates organisational learning culture and university performance. The study addresses a gap in the scarce studies in the university context for organisational learning and sustainable performance. Finally, this study reproduces an organisational model that has been adapted for universities.

Teen participants’ experiences with a teen STEM café program

ABSTRACT It is important that teens are exposed to STEM education both through formal and informal learning opportunities. STEM cafés are an instance of the latter. Within an informal setting, teen science cafés can significantly enhance teens’ view of the importance of science in their lives, positively influencing teens’ understanding of science in the news and increasing their ability and confidence to use facts to support scientific points of view. Therefore, this study aimed to examine the perceived impacts of science, technology, engineering, and math (STEM) café events on teen participants (n = 68) because cafés are underutilized resources by teens despite having great potential to boost their STEM experiences. Since there is a limited body of literature on teen cafés, the findings of this study add to the small number of empirical studies that have examined the perceived impacts of teen science café programs on participants.

Youth perspectives on technology ethics: analysis of teens’ ethical reflections on AI in learning activities

ABSTRACT The integration of AI technologies in all domains of life raises ethical debates. Children and young people are not exempt from these discussions since AI is also an increasing part of their lives. This study explores teenagers’ (aged 13 to 16 years) views on AI with a focus on ethical thinking. This is a retrospective empirical study in which data from three cases involving young people in technology learning activities have been analysed to answer the following research questions: (i) What ethical challenges around AI do young people reflect upon and (ii) what ethical dimensions do these reflections connect to? We have adapted an existing framework outlining dimensions of ethical thinking to identify young people’s ethical reflections on AI in various learning activities. Our findings show how young people reflect on AI ethics, even without dedicated teaching on it and are able to consider various dimensions and make connections to everyday uses of AI raising ethical issues. Based on our findings, we advocate for an integrated approach of AI and ethics in learning activities about technology. We believe the framework presented in this study can be a valuable tool to inform further research and practice.

Leadership humour style: role of self-disclosure and perceived similarity for employee’s thriving at work and burnout

Purpose The purpose of this study is to understand the leadership humour style and the mechanism through which leadership humour style transforms into follower’s workplace positive and negative outcomes such as thriving at work and burnout. It uses comprehensive elaboration theory and relational process theory to explore self-disclosure and perceived similarity as two new constructs to assess their relation to intrapsychic (self-enhancing and self-defeating) and interpersonal (affiliative and aggressive) leader’s humour style, respectively. Design/methodology/approach An exploratory qualitative study through semi-structured interviews was conducted with 10 leaders to understand the different aspects of leadership humour and their outcomes. Based on these dimensions, a questionnaire was created and sent to 200 respondents, and 158 responses were received. The empirical analysis of data was done by building structural equation modeling using smart partial least square. Findings The empirical study has shown that self-enhancing leadership humour is related to self-disclosure, and both affiliative and aggressive leadership humour styles are related to perceived similarity. When looking at the two critical outcomes of leadership humour, both perceived similarity and self-disclosure were related to social intimacy and thriving at work. The mediation effect showed that self-enhancing humour leads to self-disclosure which increases social intimacy leading to improving thriving at work and aggressive humour leads to norm violation which further leads to burnout. Originality/value The study has used the mixed methodology to understand leadership humour and its outcomes by conducting in-depth interviews with leaders and also provides empirical evidence related to leadership humour style by using the survey to collect data from the followers capturing their perceptions. And very critically, it has explored self-disclosure and perceived similarity as two new constructs to see their relation to leadership humour style and positive and negative outcomes at the workplace.

Exploring a practice theoretical tool-kit approach for studying professional and organisational learning processes: a pragmatist interpretation

ABSTRACT This article conceptually explores different practice theoretical vantage points in empirical studies of professional and organisational learning processes. Through an ethnographic study of a management development program in Denmark, possibilities and limitations of three different practice-theoretical approaches are considered. Firstly, learning processes are examined as professional identity formation through participation in the community of practice around the development program. Next, Schatzki’s practice-theoretical approach is applied, focusing on management as situated work practice. A third approach focusing on persons’ learning paths in professional and organisational practices is considered: Ole Dreier's concept of person is discussed as a further development of practice theories in line with Schatzki’s thinking. The article explores the epistemological and ontological stances taken by the three practice theories in relation to the study of learning processes. A pragmatist interpretation of a ‘tool-kit’ approach to operationalising different practice theoretical approaches in alliance is developed, considering how this can generate constructive analytical tensions for exploring and understanding learning processes.

Quantitative analysis of social influence and digital piracy contagion with differential equations on networks

Illegal file sharing of copyrighted contents through popular file sharing networks poses an enormous threat to providers of digital contents, such as, games, softwares, music and movies. Though empirical studies of network effects on piracy is a well-studied domain, the dynamics of peer effect in the context of evolving social contagion has not been enough explored using dynamical models. In this research, we methodically study the trends of online piracy with a continuous ODE approach and differential equations on graphs to have a clear comparative view. We first formulate a compartmental model to study bifurcations and thresholds mathematically. We later move on with a network-based analysis to illustrate the proliferation of online piracy dynamics with an epidemiological approach over a social network. We figure out a solution for this online piracy problem by developing awareness among individuals and introducing media campaigns, which could be a valuable factor in eradicating and controlling online piracy. Next, using degree-block approximation, network analysis has been performed to investigate the phenomena from a heterogeneous approach and to derive the threshold condition for the persistence of piracy in the population in a steady state. Considering the dual control of positive peer influence and media-driven awareness, we examine the system through realistic parameter selection to better understand the complexity of the dynamics and suggest policy implications.

What drives the tourist Daka? An empirical study based on the perspective of dual motivation

ABSTRACT Tourist Daka, a recording behaviour displaying individuals’ tourism in virtual spaces, has become a major manifestation of travel experiences in modern social media. Through a dual motivation lens, this study investigated the relationship between Daka destination features, dual Daka motivations (i.e. intrinsic motivation, extrinsic motivation), and Daka intention to develop a model that outlines the influencing mechanism driving the occurrence of tourist Daka. The results demonstrated that: (1) Daka destination features evoke different Daka motivations; (2) intrinsic motivation triggers an individual’s emotions on Daka destination and affects their Daka intention, while extrinsic motivation only evokes their emotions on Daka destination; and further (3) individual’s tourism involvement plays a moderating role in the influencing path. This study provides theoretical data regarding studies of tourist behaviour and practical guidance for the development of novel tourism models.

The evidential challenge for petitionary prayer

Abstract In the past decade, philosophers have devoted a great deal of attention to the practice of petitionary prayer. Philosophical inquiries have posed a priori problems – issues that arise from an analytical investigation of the concept of God, the concept of petitionary prayer, and the relationship between the two. Taking a different direction, this article shifts the focus from possibility to actuality. Accordingly, this article does not deal with the question ‘Can God answer petitionary prayers?’ but rather with the question ‘Does God answer petitionary prayers?’ and, mainly, its implications. More accurately, I will present the tension between the religious belief that petitionary prayers can be effective and the fact that this does not seem to be so in reality, a claim that has been the conclusion of several empirical studies. Then I will present and examine several solutions to this tension. Although I will try to promote my preferred solution, my main aim is to clarify the problem and discuss the advantages and disadvantages of the solutions offered to solve the problem under discussion.

An Empirical Study on Offensive and Defensive Ability of College Men's Football Teams Based on TOPSIS-RSR Comprehensive Evaluation Method

An Empirical Study on Offensive and Defensive Ability of College Men's Football Teams Based on TOPSIS-RSR Comprehensive Evaluation Method

Single-Subject Study on the Effects of Social Stories on the Social Interaction of a Child with Autism Spectrum Disorder in China

ABSTRACT Intervention using social stories is a widely used strategy for children with autism spectrum disorder. However, empirical studies on the efficacy of social stories in improving social interaction have yielded mixed results, and such research in China is scarce. This study examined the effectiveness of social stories for increasing social interaction, particularly initiation and response, verbal exchange, body language, eye contact, and combined interaction of a child with autism spectrum disorder. A single-subject experimental study was conducted with two baseline sessions, two intervention phases, and a follow-up period. The results demonstrated immediate and maintained effects after utilising social story intervention. The participant’s response behaviours improved more than initiation, and body language as well as eye contact improved more than verbal and combined interaction. Social validity findings revealed positive evaluations of the participant’s mother and head teacher. Social story intervention is a promising strategy for improving the social interaction of children with autism spectrum disorder and that should be explored further in future research.

Delivering the diagnosis of multiple system atrophy: a multicenter survey on Japanese neurologists’ perspectives

BackgroundMultiple system atrophy (MSA) is a progressive, incurable, life-threatening neurodegenerative disease uniquely characterized by the risk of sudden death, which makes diagnosis delivery challenging for neurologists. Empirical studies on breaking a diagnosis of MSA are scarce, with no guidelines currently established. This study aimed to investigate neurologists’ current practices and experiences in delivering the diagnosis of MSA.MethodsWe conducted a multicenter online survey and employed a mixed-methods (quantitative and qualitative) study design in which responses to open-ended questions were analyzed qualitatively using critical incident technique.ResultsAmong the 194 neurologists surveyed, 166 opened the survey (response rate = 85.6%), of whom 144 respondents across various Japanese regions completed the survey. Accordingly, 92.3% and 82.8% of the participating neurologists perceived delivering the diagnosis of MSA and explaining the risk of sudden death as difficult, respectively. Factors independently associated with difficulties in diagnosis delivery included explaining the importance of the family decision making process in life-prolonging treatment, perceived difficulties in delivering information regarding the risk of sudden death, and perceived difficulties in differential diagnosis of MSA.ConclusionsOur findings showed that the majority of neurologists perceived delivering the diagnosis of MSA and explaining the risk of sudden death as difficult, which could have been associated with the difficulty of breaking the diagnosis of MSA. Difficulty in conveying bad news in MSA are caused by various factors, such as empathic burden on neurologists caused by the progressive and incurable nature of MSA, the need to explain complex and important details, including the importance of the family decision-making process in life-prolonging treatment, difficulty of MSA diagnosis, and communication barriers posed by mental status and cognitive impairment in patients or their family members. Neurologists consider various factors in explaining the risk of sudden death (e.g., patient’s personality, mental state, and degree of acceptance and understanding) and adjust their manner of communication, such as limiting their communication on such matters or avoiding the use of the term “sudden death” in the early stages of the disease. Although neurologists endeavor to meet the basic standards of good practice, there is room for the multiple aspects for improvement.

Fault Diagnosis Method for Railway Signal Equipment Based on Data Enhancement and an Improved Attention Mechanism

Railway signals’ fault text data contain a substantial amount of expert maintenance experience. Extracting valuable information from these fault text data can enhance the efficiency of fault diagnosis for signal equipment, thereby contributing to the advancement of intelligent railway operations and maintenance technology. Considering that the characteristics of different signal equipment in actual operation can easily lead to a lack of fault data, a fault diagnosis method for railway signal equipment based on data augmentation and an improved attention mechanism (DEIAM) is proposed in this paper. Firstly, the original fault dataset is preprocessed based on data augmentation technology and retained noun and verb operations. Then, the neural network is constructed by integrating a bidirectional long short-term memory (BiLSTM) model with an attention mechanism and a convolutional neural network (CNN) model enhanced with a channel attention mechanism. The DEIAM method can more effectively capture the important text features and sequence features in fault text data, thereby facilitating the diagnosis and classification of such data. Consequently, it enhances onsite fault maintenance experience by providing more precise insights. An empirical study was conducted on a 10-year fault dataset of signal equipment produced by a railway bureau. The experimental results demonstrate that in comparison with the benchmark model, the DEIAM model exhibits enhanced performance in terms of accuracy, precision, recall, and F1.