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This paper aims to examine how customer participation in new service development (NSD) and customer relationship management (CRM) technology can improve the NSD performance of manufacturing firms. Additionally, the paper examines CRM technology usage to understand how it impacts new service performance both individually and jointly with customer participation in NSD.

This study is a survey of 216 manufacturing managers who are overseeing the development of new services at their organizations. For the analysis, structural equation modeling is used with Amos 22.0. Measures of all latent variables in the analysis pass the traditional tests for reliability, convergent validity and discriminant validity. Furthermore, the results of a common latent factor test for common method variance and Harman’s one-factor test indicate that common method bias is not a source of endogeneity in the model.

Customer participation has a positive effect on NSD performance. CRM technology usage also has a positive effect on NSD performance. The effect of customer participation on NSD performance is enhanced by CRM technology. The results of a post hoc analysis suggest that the usage of CRM technology has the most benefit for managing the technical aspects of customer participation.

This study has methodological limitations that may impact the generalizability of results. For instance, it is based on cross-sectional self-reported survey data, which is more subjective than longitudinal secondary data. Survey research lacks the depth and nuance of qualitative research designs, which are commonly employed to study NSD. In addition, this study focuses on large US manufacturing firms. The authors do not include small firms or international organizations in the sample. Despite these limitations, they believe the findings can provide significant contributions to the NSD literature.

Although prior research has shown that customer participation and CRM technology can individually influence new product development (NPD) performance, the results indicate they are equally effective factors in the development of new services. Furthermore, the authors show that customer participation can be enhanced via the use of CRM technologies. The interaction is more pronounced within the technical aspects of NSD.

This study contributes to the NSD literature, and it also has implications for managers leading NSD efforts in traditional tangible-product industries. The findings provide additional evidence that customer participation is an effective NSD strategy for manufacturing firms (Morgan et al., 2019). Furthermore, CRM technology is integral to NSD performance. CRM technology not only has a direct effect on NSD performance, but the interaction term of customer participation by CRM technology also has a positive effect on NSD performance.

The purpose of this study is to develop an efficient model to solve the electromagnetic forward problem using a novel semi-analytical approach to compute the electromagnetic fields because of the presence of a scatterer.

The proposed model involves a novel formulation of a complete orthonormal set of radiating/nonradiating polarization currents. Furthermore, an integral equation-based representation is derived, and the appropriate boundary conditions are imposed to get the scattered electromagnetic field. An error term is introduced to evaluate the obtained results.

The proposed model was tested using several examples at different frequencies. The results of this study show that the novel representation exhibits fast convergence behavior and achieves highly accurate results, when compared to the results provided by the transmission line method.

The derived formulations presented in this study are significant in the electromagnetic forward modelling field because of the meaningful physical representation they provide. This is an important aspect that leads to precise calculation of electromagnetic fields for various applications.

In recent years, the proliferation of social commerce (s-commerce) has attracted many researchers to investigate the drivers of individuals' intentions. However, the empirical results reported in these studies were fragmented and inconsistent. This has led various meta-analyses to synthesize these findings, but without including a large number of s-commerce studies. In addition, investigating meta-analytically the effects of moderators such as the six dimensions of Hofstede's national culture is still lacking.

Drawing on nine theories and models, this meta-analysis aims to summarize the findings reported in 109 s-commerce studies published between 2011 and 2021 and to examine the moderating role of national culture. The correlation coefficient (r) has been used as the main effect size for this study. Based on the random-effects method, the CMA V3 software has been employed to calculate the weighted mean effect sizes.

The meta-analysis results showed that all the 11 hypothesized direct relationships are positive and significant. The moderator results also revealed that five out of six cultural dimensions significantly moderate the examined associations.

This research serves to enrich the existing s-commerce literature by addressing contradictory and mixed results reported in the empirical studies. This study is one of the first of its kind to investigate the role of Hofstede's six cultural dimensions as moderators in the field of s-commerce using the meta-analytic techniques.

Sustainable investments (SI) represent a promising class of investments, combining financial returns with mitigating environmental challenges, achieving SDG goals and creating a positive business impact. An enhanced global focus on climate change developments in the backdrop of COP26 and COP27, raised the need for comprehensive literature mapping, to understand the emerging themes and future research arenas in this field.

The authors apply a quali–quantitative approach of bibliometric methods coupled with content analysis, to review 1,022 articles obtained from the Web of Science (WoS) database for 1991–2023.

The results identify the leading authors and their collaborations, impactful journals and pioneering articles in sustainable investment literature. The authors also indicate seven major themes of SI to be financial performance; fiduciary duty; CSR; construction of ESG-based portfolios; sustainability assessment tools and mechanisms; investor behavior; and impact investing. Further, content analysis of literature from 2020 to 2023 highlights emerging research issues to be SDG financing via green bonds and social impact bonds; investor impact creation via shareholder engagement and field building strategies; and governance related determinants of firm-level sustainable investments. Finally, the authors discuss the research gaps across these themes and identify future research questions.

This paper crystallizes research themes in sustainable investment literature using a vast coverage of globally conducted studies published in reputed journals till date. The findings of this study coupled with future research questions provide a well-grounded foundation for new researchers to further explore the emerging dimensions of this field.

This study aims to extend the theory of planned behaviour (TPB) to develop finer understanding about tourist’s attitude and intention towards visiting a politically unstable and conflict-ridden destination such as Kashmir.

A research instrument adapted from previous studies is administered on 490 tourists. The data collected is subjected to exploratory factor analysis followed by structural equation modelling using SPSS and AMOS. The study tests and validates a more robust behavioural prediction model grounded on the TPB.

The results of the study found that the tourists’ destination choice intention in a politically sensitive area such as Jammu and Kashmir is collectively determined by perceived destination attractiveness, perceived destination image, familiarity with place, media exposure and perceived value. However, quite interestingly, perceived risk and attitude were found to be insignificant determinants of choice intentionality.

The study empirically validates extended TPB to predict tourist behaviour in a politically sensitive setting. Furthermore, the study provides vital inputs to the destination managers, policy makers and practitioners to develop strategies to enhance destination image and attractiveness. Although the study provides critical insights into the tourist’s decision-making process, nonetheless, certain limitations, such as restricted geographical approach, convenience sampling and ignoring the inter-group variations, warrant attention.

The study is essentially a pioneering effort in applying an integrated TPB model in determining destination choice intentionality in a politically sensitive region of Jammu and Kashmir. The region has the potential to be one of the best destinations in the world. Therefore, studying the tourist perceptions and attitudes and intention towards Kashmir could help the local government and other destination management organizations in charting future courses of action.

本研究旨在扩展计划行为理论（TPB）, 以便更深入地了解游客对以克什米尔为例的政治动荡、冲突不断型旅游目的地的态度和意向。

基于以往研究, 本文修订开发了适用于本研究的研究工具, 并据此采集了490个游客样本。运用SPSS软件和AMOS软件, 本研究对样本数据进行了结构方程建模, 并以此进行探索性因子分析。本研究检验并验证了基于计划行为理论（TPB）的更有力的行为预测模型。

研究发现对于查谟和克什米尔这类政治敏感的目的地, 游客的目的地选择意向由目的地感知吸引力、目的地感知形象、感知价值、媒体曝光度和游客对地方的熟悉程度共同决定。研究还有一项有趣的发现：感知风险和态度对游客的目的地选择意向的影响并不显著。

研究实证检验了扩展计划行为理论对政治敏感环境下游客行为的预测作用, 为目的地管理人员、政策制定人员和从业人员等提升目的地形象和吸引力提供了重要参考。然而, 尽管本研究揭示了游客的决策行为过程, 但研究结论仍受限于以下几点：单一的地理研究方法、方便抽样法、忽视了群体间的差异。

本文开创性地利用扩展的计划行为理论模型研究游客对政治敏感地区——查谟和克什米尔的选择意向。克什米尔地区有潜力成为全球最佳的旅游目的地之一, 因此研究游客对该地区的感知、态度和意向对于当地政府和其他管理组织制定未来的行动方案具有重要意义。

Este estudio se centra en extender la teoría del comportamiento planificado para una mejor comprensión de la actitud y la intención de los turistas de visitar un destino políticamente inestable y conflictivo como Kashmir.

Se administró un cuestionario adaptado de estudios previos a 490 turistas. Los datos recogidos se analizaron mediante análisis factorial exploratorio seguido de un modelo de ecuaciones estructurales mediante SPSS y AMOS. El estudio prueba y valida un modelo de predicción de comportamiento más robusto basado en la Teoría del Comportamiento Planificado (TPB).

Los resultados del estudio muestran que la intención de elección del destino en un área políticamente sensible como Jammu y Kashmir está determinada conjuntamente por el atractivo percibido del destino, la imagen percibida del destino, la familiaridad con el lugar, la exposición a los medios y el valor percibido. Sin embargo, el riesgo percibido y la actitud resultaron ser determinantes no significativos de la intencionalidad de elección.

El estudio valida empíricamente la TPB ampliada para predecir el comportamiento de los turistas en un entorno políticamente sensible. Además, el estudio proporciona información relevante a los gestores de destinos, los responsables políticos y los profesionales para desarrollar estrategias que mejoren la imagen y el atractivo de los destinos. Aunque el estudio proporciona una visión crítica del proceso de toma de decisiones del turista, ciertas limitaciones, como el enfoque geográfico restringido, el muestreo de conveniencia y el hecho de ignorar las variaciones intergrupales, merecen atención.

La investigación presenta un esfuerzo pionero en la aplicación de un modelo TPB integrado que determina la intencionalidad de la elección del destino en una región políticamente sensible de Jammu y Kashmir. La región tiene potencial para ser uno de los mejores destinos del mundo. Por consiguiente, el estudio de las percepciones, actitudes e intención de los turistas hacia Kashmir podría ayudar al gobierno local y a otras organizaciones de gestión de destinos a trazar acciones futuras.

This study investigates the drivers of social innovation in disability services with specific reference to the context of nonprofit organizations of social farming. In addition, it highlights the role of stakeholder networks in enhancing the social innovation process and the characteristics of stakeholders and networks driving and supporting social innovation.

Following a qualitative methodology, research was conducted through a case study survey with interviews to 13 nonprofit organizations of social farming for people with disability located in the northeast of Italy.

Insights gained from the interviews revealed that individual, organizational and contextual factors drive social innovation in disability nonprofits. In addition, networks play a key role in enhancing the three drivers of social innovation through the social innovation journey, from opportunity recognition to implementation of the innovation, to its consolidation phases. Characteristics of the networks and the stakeholders involved are also outlined.

Practical implications for social entrepreneurs include the need to establish cross-sectoral partnerships with diverse stakeholders, including private companies.

Implications for policy makers stress the need for ongoing support for nonprofit disability organizations. Social implications are not limited to the inclusion of socially weaker groups; rather, the entire community benefits from the social innovation process.

Social farming represents a valuable solution to meet the needs of disadvantaged people. While much research has investigated the topic of social innovation in social entrepreneurship, only a few studies have addressed social innovation in the context of disability nonprofits involved in social farming.

Robotics and automation are successful in construction, health and safety, but costs and expertise hinder their use in developing nations. This study examined mobile apps as a more accessible and affordable alternative.

This descriptive study explored the use of mobile apps in construction, health and safety management. It used a literature review to identify their availability, accessibility, and capabilities. The study consisted of four five stages: searching for relevant apps, selecting them based on versatility, examining their specific functions, removing untested apps and discussing their functions based on empirical studies.

A comprehensive literature review identified 35 mobile apps that are relevant to health and safety management during construction. After rigorous analysis, eight apps were selected for further study based on their relevance, user friendliness and compliance with safety standards. These apps collectively serve 28 distinct functions, including first-aid training and administration, safety compliance and danger awareness, safety education and training, hazard detection and warnings.

This study suggests that mobile apps can provide a cost-effective and readily accessible alternative to robotics and automation in health and safety management in construction. Further research is needed to accurately assess the efficacy of these apps in real-world conditions.

This study explored the use of apps in health and safety management, highlighting their diverse capabilities and providing a framework for project managers, contractors and safety officers to select suitable apps.

Unlike the traditional growth model of emerging markets after economic liberalization, India’s inward foreign direct investment (FDI) surged paralleling its strong economic growth in the 2000s, despite the failure to establish a strong secondary sector. This creates an opportunity to deepen the conceptual and contextual understanding of the pivotal mechanisms that impel foreign multinational enterprises to invest into India and provides a natural setting to better understand the nature of its institutional, political and economic environment.

The authors develop a theory contextualized to Indian inward FDI patterns for the 2000–2017 period. The theoretical framework expands upon received investment motives, with explicit consideration given to the idiosyncrasies of developments in India’s recent macro and socioeconomic environment. The authors test the hypotheses using panel data from 134 countries that invested in India, using a Hausman–Taylor estimation.

The authors find that India’s transition toward a knowledge economy attracts asset augmenting rather than asset exploiting FDI. Investors appear to target long-term investments by gaining access to India’s digital capabilities, R&D, and growing talent base with a high degree of specialization within analytics, biotechnology, engineering, or pharmaceuticals. Foreign investors do not seem to be notably deterred by infrastructural challenges nor by legal and regulatory restrictions.

By providing a new perspective on India’s atheoretical economic development and FDI environment, this study offers a distinct point of comparison with regard to established hypotheses within the extant literature on FDI into emerging markets. Rethinking contemporary investment motive theory by introducing an adapted conceptual framework provides further opportunity to inform the understanding of firm strategies in similar environments.

Supply chain collaboration (SCC) is an important element that contributes to enhanced performance. Nonetheless, there is still a need to understand its role in servitization implementation and outcomes. This study aims to address this gap by looking at the impact of SCC on servitization and performance when considering service levels (base, intermediate and advanced).

Following a quantitative research design, data were collected from firms in pharmaceutical sector.

Moderation effects were tested. Results suggest that SCC is a crucial moderator when it comes to the influence of service levels on servitization consequences and performance, particularly to advanced and intermediate services.

This study contributes to the literature by providing further empirical evidence of the impact of intermediate and advanced services shedding light into the moderating role of SCC.

World Heritage Sites (WHSs), as crucial tourist attractions, have been demonstrated to promote inbound tourism development; however, no study has analyzed its impact on the origin distribution of inbound tourist flows (ODITFs), leaving a research gap. This study aims to apply power law to assess ODITFs and explore the impact of WHSs on ODITFs.

This study applied the power law of rank-size distribution to calculate ODITFs in 167 countries/regions from 1997 to 2018 and used the panel data model to analyze the effect of WHSs on ODITFs.

WHSs could positively impact ODITFs to be more even. Among them, a cultural WHS shows a more pronounced effect on ODITFs, while the effect of natural WHSs is negligible.

This study advances knowledge about the impact of WHSs on inbound tourism from the standpoint of ODITFs, contributing to the inbound tourist flows theory and tourist attraction theory. In a realistic sense, WHSs, as crucial tourist attractions, could make ODITFs more even, implying that destination management organizations could gain higher growth of incremental tourists from tail markets rather than head markets when increasing tourist attractions.

全球视角下联合国教科文组织世界遗产（whs）对入境游客源地分布的影响

世界遗产地（WHS）作为重要的旅游景点, 已被证明可以促进入境旅游的发展。然而, 目前没有研究分析其对入境游客源地分布（ODITF）的影响。本文旨在应用幂律评估入境游客源地分布, 并探讨世界遗产对入境游客源地分布的影响。

本研究应用序位-规模分布的幂律计算1997年至2018年167个国家/地区的入境游客源地分布, 并使用面板数据模型分析世界遗产对入境游客源地分布的影响。

世界遗产可以对入境游客源地分布产生积极影响, 使入境游客源地分布更加均匀。其中, 世界文化遗产对入境游客源地分布的影响更为显着, 而世界自然遗产的影响可以忽略不计。

本文从入境游客源地分布的角度, 推进了世界遗产对入境旅游影响的认识, 为入境旅游流理论和旅游景点理论做出了贡献。在现实意义上, 世界遗产作为重要的旅游景点, 可以使入境游客源地分布更加均衡, 这意味着目的地管理组织在增加旅游景点时, 可以从尾部市场获得更多的游客增量。

El impacto del Patrimonio de la Humanidad de la UNESCO en la distribución del origen de los flujos turísticos entrantes desde una perspectiva global

Resumen

se ha demostrado que el Patrimonio de la Humanidad de la UNESCO, como atracciones turísticas cruciales, promueven el desarrollo del turismo receptor; sin embargo, ningún estudio ha analizado su impacto en la distribución del origen de los flujos turísticos entrantes (DOFTE), lo que deja un vacío en la investigación. Este documento tiene como objetivo aplicar la ley de potencias para evaluar la DOFTE y explorar el impacto del Patrimonio sobre ella.

este estudio aplicó la ley de potencias de la distribución del tamaño del rango para calcular la DOFTE en 167 países/regiones desde 1997 hasta 2018 y utilizó el modelo de datos de panel para analizar el impacto del Patrimonio de la Humanidad en la DOFTE.

el Patrimonio de la Humanidad podría influir positivamente en la DOFTE para que sea más uniforme. Entre ellos, el Patrimonio cultural muestra un efecto más pronunciado sobre la DOFTE, mientras que el efecto del Patrimonio natural es insignificante.

este artículo avanza en el conocimiento del impacto del Patrimonio de la Humanidad en el turismo entrante desde la perspectiva de la DOFTE, contribuyendo a la teoría de los flujos turísticos entrantes y a la teoría de la atracción turística. En un sentido realista, el Patrimonio de la Humanidad, como atracciones turísticas cruciales, podrían hacer que la DOFTE fuera más uniforme, lo que implica que las organizaciones de gestión de destinos (OGD) podrían obtener un mayor crecimiento de turistas incrementales procedentes de los mercados secundarios en lugar de los mercados principales al aumentar las atracciones turísticas.