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Gesture recognition plays an important role in many fields such as human–computer interaction, medical rehabilitation, virtual and augmented reality. Gesture recognition using wearable devices is a common and effective recognition method. This study aims to combine the inverse magnetostrictive effect and tunneling magnetoresistance effect and proposes a novel wearable sensing glove applied in the field of gesture recognition.

A magnetostrictive sensing glove with function of gesture recognition is proposed based on Fe-Ni alloy, tunneling magnetoresistive elements, Agilus30 base and square permanent magnets. The sensing glove consists of five sensing units to measure the bending angle of each finger joint. The optimal structure of the sensing units is determined through experimentation and simulation. The output voltage model of the sensing units is established, and the output characteristics of the sensing units are tested by the experimental platform. Fifteen gestures are selected for recognition, and the corresponding output voltages are collected to construct the data set and the data is processed using Back Propagation Neural Network.

The sensing units can detect the change in the bending angle of finger joints from 0 to 105 degrees and a maximum error of 4.69% between the experimental and theoretical values. The average recognition accuracy of Back Propagation Neural Network is 97.53% for 15 gestures.

The sensing glove can only recognize static gestures at present, and further research is still needed to recognize dynamic gestures.

A new approach to gesture recognition using wearable devices.

This study has a broad application prospect in the field of human–computer interaction.

The sensing glove can collect voltage signals under different gestures to realize the recognition of different gestures with good repeatability, which has a broad application prospect in the field of human–computer interaction.

Since its inception, virtual reality (VR) technologies have been widely applied in the tourism industry, given their competitive advantages in offering users a novel experience that makes an artificial environment or scene feel like the real world. As a result, VR has been reported as a highly sought-after technology, as it can offer a new way to engage tourists and enhance their travel experience. However, the adoption of VR by senior tourists (who are one of the potential groups of tourists) is still relatively low in the tourism context. Against this backdrop, this study aims to respond to the deficiency in the literature by examining the impact of barriers that contribute to senior tourists’ resistance and scepticism towards VR in tourism.

Using a cross-sectional approach, the data for this study was collected from 600 eligible senior tourists through survey questionnaires. To obtain valid and reliable responses, a purposive sampling technique with screening criteria was undertaken in this study. Upon data cleaning, the data analysis was performed on 546 samples using statistical software packages such as SPSS and the AMOS covariance-based structural equation modelling technique.

Grounded on the innovation resistance theory, the outcome of this study put forward the significance of technical and psychological barriers in explaining senior tourists’ resistance and scepticism towards the use of VR in tourism. In particular, perceived risk, perceived incompatibility, technology anxiety, inertia and a lack of human interaction were found to be associated with senior tourists’ scepticism and resistance towards VR usage in tourism. However, perceived complexity was not found to have a significant relationship with resistance. Moreover, both scepticism and resistance were reported to influence non-adoption intentions on VR.

This study is one of the few studies that examined the less explored territory of the tourism literature concerning the non-adoption of contemporary innovation (i.e. VR technology) for virtual tourism purposes. Moreover, this study also focuses on the perspective of senior tourists, which represents a promising market segment in the tourism sector. This study successfully contributed to the existing literature by offering empirical insights and highlighting the barriers that lead to users’ scepticism and resistance towards using VR for tourism, which could directly influence their non-adoption intention and the success of virtual tourism.

自问世以来, 虚拟现实 (VR) 技术已在旅游业中得到广泛应用因为它在为用户提供新颖体验方面具有竞争优势, 使人工环境或场景感觉像真实世界。由于VR可以提供一种新的方式来吸引游客并提升他们的旅行体验, 它被视为一项备受追捧的科技。然而, 在旅游背景下, 老年游客（潜在游客群体之一）对 VR 的采用率仍然较低。在此背景下, 本研究旨在通过探究导致老年游客对VR旅游应用产生抵制和怀疑的原因来回应文献中的不足。

基于横断面方法, 本研究通过调查问卷从600名符合条件的老年游客中收集了数据。为了获得有效和可靠的答复, 本研究采用了具有筛选标准的目的抽样技术。数据清理后, 本研究使用SPSS等统计软件包和基于AMOS协方差的结构方程建模技术对546个样本进行了数据分析。

基于创新阻力理论, 本研究结果提出了技术和心理障碍在解释老年游客对VR旅游应用抵制和怀疑的重要性。具体而言, 感知风险、感知不相容性、技术焦虑、惰性和缺乏人际互动被发现与老年游客对VR旅游应用抵制和怀疑有关。然而, 本研究并未发现感知复杂性与VR旅游应用抵制有显着关系。此外, 怀疑和抵制都会影响 VR 的不采用意图。

此研究是为数不多探索了旅游文献中关于未将当代创新（即VR技术）用于旅游目的研究。此外, 这项研究侧重于老年游客（作为旅游业中一个有前景的细分市场）的视角。本研究成功地为现有文献做出了贡献, 提供了实证见解, 并强调了导致用户怀疑和抵制将VR用于旅游的障碍。这些障碍可以直接影响用户的不采用意图和虚拟旅游的成功。

Desde sus inicios, las tecnologías de realidad virtual (RV) se han aplicado ampliamente en el sector turístico, dadas sus ventajas competitivas al ofrecer a los usuarios una experiencia novedosa que hace que un entorno o escena artificial parezca el mundo real. Como resultado, la RV se ha considerado una tecnología muy solicitada, ya que puede ofrecer una nueva forma de involucrar a los turistas y mejorar su experiencia de viaje. Sin embargo, la adopción de la RV por parte de los turistas senior (que son uno de los grupos potenciales de turistas) aún es relativamente baja en el contexto del turismo. El presente estudio se propuso responder a este déficit en la literatura examinando el impacto de las barreras que contribuyen a la resistencia y el escepticismo de los turistas mayores hacia la RV en el turismo.

Utilizando un enfoque transversal, los datos para este estudio se recopilaron de 600 turistas de la tercera edad elegibles a través de una encuesta mediante cuestionario. Para obtener respuestas válidas y fiables, se llevó a cabo una técnica de muestreo intencional con criterios de selección. Una vez depurados los datos y eliminados los sujetos no válidos, se procedió a su análisis en una muestra de 546 individuos utilizando paquetes de software estadístico como SPSS y la técnica de modelado de ecuaciones estructurales basada en la covarianza AMOS.

En el marco de la teoría de la resistencia a la innovación, los resultados del estudio ponen de manifiesto la importancia de las barreras técnicas y psicológicas para explicar la resistencia y el escepticismo de los turistas de la tercera edad hacia el uso de la RV en el turismo. En concreto, el riesgo percibido, la incompatibilidad percibida, la ansiedad tecnológica, la inercia y la falta de interacción humana se asociaron con el escepticismo y la resistencia de los turistas mayores hacia el uso de la RV en el turismo. Sin embargo, no se encontró ninguna relación significativa entre la complejidad percibida y la resistencia. Además, tanto el escepticismo como la resistencia influyen en las intenciones de no adoptar la RV.

Este estudio es uno de los pocos que examinan el territorio menos explorado de la literatura turística en relación con la no adopción de la innovación contemporánea (es decir, la tecnología de RV) para fines de turismo virtual. Además, esta investigación también se centra en la perspectiva de los turistas senior, que representan un segmento de mercado prometedor en el sector turístico. El presente estudio contribuye con éxito a la literatura existente al ofrecer una perspectiva empírica y poner de relieve las barreras u obstáculos que provocan el escepticismo y la resistencia de los usuarios hacia el uso de la RV con fines turísticos, lo que podría influir directamente en su intención de no adopción y en el éxito del turismo virtual.

This paper aims to design a magnetostrictive tactile sensor for surface depth detection. Unlike the human finger, although most tactile sensors have high sensitivity to pressure, they cannot detect millimeter-level depth information on the surface of objects precisely. To enhance the ability to detect surface depth information, a piezomagnetic sensor combining inverse magnetostrictive effect and bionic structure is developed in this paper.

A magnetostrictive tactile sensor based on Galfenol [(Fe₈₃Ga₁₇)_99.4B_0.6] is designed and studied for surface depth measurement. The optimal structure of the sensor is determined by experiment and theory. The test platforms for static and dynamic characteristics are set up. The static and the dynamic sensing performance of the sensor are studied experimentally.

The sensor can detect 0–2 mm depth change with a sensitivity of 91.5 mV/mm. A resolution of 50 µm can be achieved in the depth direction. In 50 cycles of loading and unloading tests, the maximum error of the sensor output voltage amplitude is only 2.23%.

The sensor can measure the depth information of object surface precisely with good repeatability through sliding motion and provide reference for object surface topography detection.

This study aims to test the link between enterprise digital transformation and technological innovation and the mechanisms and channels behind this link.

This study systematically examines whether and how enterprise digital transformation affects technological innovation in China.

Enterprise digital transformation effectively improves technological innovation. This result remains stable in robustness and endogeneity checks. The channel mechanisms of this promoting effect are internal (improvement of internal control quality and alleviation of agency costs) and external (increased attention of analysts and reduction of customer concentration). Moreover, this promoting effect is more significant for state-owned enterprises, small and medium-sized enterprises, enterprises in areas with low marketization and enterprises that do not enjoy digital subsidies from the government.

Enterprises need to attend to the mechanisms behind the link between digital transformation and technological innovation and to the unique effects of different enterprise attributes and capital markets, such as size, the ownership nature, the degree of regional marketization and government subsidies. Doing so will effectively promote digital transformation and technological innovation and strengthen core competitiveness.

This study provides systemic evidence of the link between enterprise digital transformation and technological innovation. The findings enrich the research literature on enterprise digitization and the factors of influencing enterprises’ technological innovation and provide a reasonable explanation for how enterprise digital transformation affects technological innovation.

This research aims to explore the role of banks in supporting women agriculture entrepreneurs (WAEs) to contribute towards achieving the Sustainable Development Goals (SDGs). It focusses on the experiences of women entrepreneurs in the agriculture sector, recognising their vital role in driving economic growth and achieving the SDGs.

The study utilises the role congruity theory and the feminist agri-food systems model as its theoretical framework. Qualitative data from 35 WAEs and 7 bank managers (BMs) responsible for agricultural financial services and business development are collected and thematically analysed to achieve the research objectives.

Although BMs claim they offer specialised financial products with dedicated support teams, WAEs express scepticism due to fears of unfavourable deals and excessive requirements. WAEs need more understanding of SDGs but recognise their substantial contributions. BMs acknowledge the need to enhance efforts, improve communication of offers and integrate SDGs across all business operations beyond agriculture and women-centric initiatives.

Banks must prioritise gender sensitivity and inclusivity for WAEs, offering tailored financial products and flexible loan structures. Microfinance and strategic marketing can enhance outreach. WAEs benefit from forming associations, accessing support networks, collaborating with banks, government agencies, non-governmental organisations and agricultural associations for mentoring and networking, and achieving the SDGs and sustainable agriculture.

The study connects WAEs and banks in achieving SDGs.

In this paper, the authors contribute with insights on competition and cooperation in multinational enterprises with a focus on challenges related to these governance mechanisms in a knowledge development context. The mechanisms have been widely recognized as important for developing knowledge, but their contradicting nature implies considerable complexity when it comes to governance. The complexity is further increased as a result of the headquarters-subsidiary relationships. The aim of this paper is to contribute with theoretical and empirical insights on these aspects by focusing on the research question: How and why does competition and cooperation in an MNE emerge over time?

A manufacturing MNE with headquarters (HQ) in Sweden is analyzed on both HQ and subsidiary levels. Interviews with 24 managers in Sweden and India have been performed.

The study illustrates that competition and cooperation are integral aspects in HQ-subsidiary relationships. The results show that both competition and cooperation depend on environmental, organizational and object-related conditions and that these conditions influence the dynamics of the interplay. The importance of including a subsidiary perspective and the interdependencies in an MNE setting are emphasized.

The authors add to the discussion on the interplay between competition and cooperation as they play an important role for knowledge development in MNEs. The results indicate that they do not take place simultaneously, and therefore, the authors suggest that the dynamic can be better understood by focusing on the interplay and analyze the concepts separately.

Targeting at the inconsistent relationship between protean career orientation and turnover intentions, this study aims to uncover when and why such inconsistency occurs. It emphasized the mediating role of organizational identification and moderating effects of current organizational career growth and future organizational career growth prospect.

The authors conducted a three-wave time-lagged study over seven months, with a sample of 1,012 participants from various occupations.

The relationship of protean career orientation to turnover intentions via organizational identification was negative when current organizational career growth was high, and it was positive when current growth was low. Future organizational career growth prospect weakened organizational identification–turnover intentions relationship. Those two moderators jointly influenced the indirect relationship. For employees low in both states, the positive indirect relationship was the most significant.

By integrating social identity theory and social cognitive theory, this study provides a comprehensive understanding of protean career orientation–turnover intentions relationship. It also enriches studies on protean career orientation and organizational identification–turnover intentions relationship.

The purpose of this study was to compare four different consumer pathway models based on identity theory, attitude/loyalty theory, lifestyle theory and hierarchy of effects theory, each with associated instruments measuring connection to the team.

The authors did a two-study analysis, first collecting data from people aware of an NFL team (N = 218) and then an MLS team (N = 209) to determine which connection item performed better.

The authors found that the Consumer Pathway for Sport Fandom based on the hierarchy of effects theory and its associated interest measurement item performed better than the other three frameworks and items. The Interest item shared the most variance with games attended, games intending to attend, games watched via media and games intending to watch via media.

The Consumer Pathway for Sport Fandom represents the entire consumer spectrum from non-aware consumers all the way up to die-hard sports fans. This pathway will allow sport marketers to track their consumers from initial awareness of the product or service all the way through the brand relationship to ultimate loyalty.

Drawing on both the stakeholder theory and Carroll’s Corporate Social Responsibility Pyramid, this chapter explores sustainability practice challenges of a gold minning multinational enterprise in Ghana. Primary data was collected through observation and the interviewing of multi-stakeholder groups. We found that internal stakeholders perceive sustainability expenditure as costly. However, while employees of the case enterprise see the cost as depleting shareholders’ wealth, managers view them as investment with possible long-term benefits. Meanwhile, the external stakeholders perceive the gold mining enterprise’s sustainability expenditure as meagre and that beneficiary communities are not economically empowered to sustain those investments. Again, we found that government’s inability to clamp down illegal gold mining threatens economic and environmental sustainability. Additionally, members of the host community identify the lack of adequate employment opportunities within the entity as a hindrance to their economic empowerment. We submit that the resolution of the sustainability challenges would contribute to the balancing of stakeholders’ expectations: the conduct of ethical business through compliance to environmental laws; promotion of host communities’ social well-being; and improved economic returns for shareholders. By meeting the needs of stakeholders, gold mining enterprises could gain acceptance in their host communities and boost corporate reputation.

The financial sector’s growing interest in leveraging artificial intelligence (AI) for forecasting has been noted in recent years. In this chapter, we delve into the application of AI in financial forecasting within Indonesia’s stock market. Our primary focus is to assess how AI’s prediction potential can impact investors and financial regulators in this context. Our review spans existing literature on AI and financial forecasting, recent developments in the Indonesian stock market, and ethical and regulatory concerns that surround AI in finance. Our analysis indicates that AI can enhance forecast accuracy in Indonesia’s stock exchange; however, we must also consider limitations and challenges.