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This study analyzes the role of regional cooperative banks in identifying and financing small and medium-sized enterprises (SMEs) from a proximity perspective. Access to finance is a major challenge for SMEs. Regional cooperative banks can remove this barrier based on cooperative bank's characteristics and geographic proximity to SMEs. Understanding the interplay between these financial actors and firms can contribute to a better support of SMEs development.

The results are based on a case study of eight SMEs located in southwestern France. Interviews were conducted with two regional cooperative funds and eight SMEs. The interview guide included questions related to the company, the projects financed and how financing was accessed.

Results reveal that a combination of three forms of proximity allows regional cooperative banks and SMEs to establish effective financing operations. They show that regional cooperative banks are key players in the existing financing mechanisms for SMEs. Such financing is often used to gain access to larger players at a later stage. The findings suggest the need for public policies that promote the integration of financing actors in regional ecosystems to advance SMEs' development.

This article examines how SMEs access financing, with a focus on regional cooperative banks, which have received little attention in the literature. Moreover, the relationships between these actors are studied through the lens of proximity. Regional cooperative banks are able to finance projects that may have been overlooked by traditional banks due to trust-building local dynamics.

With the development of artificial intelligence, proximity sensors show their great potential in intelligent perception. This paper aims to propose a new planar capacitive sensor for the proximity sensing of a conductor.

Different from traditional structures, the proposed sensor is characterized by sawtooth-structured electrodes. A series of numerical simulations have been carried out to study the impact of different geometrical parameters such as the width of the main trunk, the width of the sawtooth and the number of sawtooths. In addition, the impact of the lateral offset of the approaching graphite block is investigated.

It is found that sensitivity is improved with the increase of the main trunk with, sawtooth width and sawtooth number while a larger lateral offset leads to a decrease in sensitivity. The performance of the proposed planar capacitive proximity sensor is also compared with two conventional planar capacitive sensors. The results show that the proposed planar capacitive sensor is obviously more sensitive than the two conventional planar capacitive sensors.

In this paper, a new planar capacitive sensor is proposed for the proximity sensing of a conductor. The results show that the capacitive sensor with the novel structure is obviously more sensitive than the traditional structures in the detection of the proximity conductor.

Informal learning networks are critical to response to calls for practitioners to reskill and upskill in off-site construction projects. With the transition to the coronavirus disease 2019 (COVID-19) pandemic, social media-enabled online knowledge communities play an increasingly important role in acquiring and disseminating off-site construction knowledge. Proximity has been identified as a key factor in facilitating interactive learning, yet which type of proximity is effective in promoting online and offline knowledge exchange remains unclear. This study takes a relational view to explore the proximity-related antecedents of online and offline learning networks in off-site construction projects, while also examining the subtle differences in the networks' structural patterns.

Five types of proximity (physical, organizational, social, cognitive and personal) between projects members are conceptualized in the theoretical model. Drawing on social foci theory and homophily theory, the research hypotheses are proposed. To test these hypotheses, empirical case studies were conducted on two off-site construction projects during the COVID-19 pandemic. Valid relational data provided by 99 and 145 project members were collected using semi-structured interviews and sociometric questionnaires. Subsequently, multivariate exponential random graph models were developed.

The results show a discrepancy arise in the structural patterns between online and offline learning networks. Offline learning is found to be more strongly influenced by proximity factors than online learning. Specifically, physical, organizational and social proximity are found to be significant predictors of offline knowledge exchange. Cognitive proximity has a negative relationship with offline knowledge exchange but is positively related to online knowledge exchange. Regarding personal proximity, the study found that the homophily effect of hierarchical status merely emerges in offline learning networks. Online knowledge communities amplify the receiver effect of tenure. Furthermore, there appears to be a complementary relationship between online and offline learning networks.

Proximity offers a novel relational perspective for understanding the formation of knowledge exchange connections. This study enriches the literature on informal learning within project teams by revealing how different types of proximity shape learning networks across different channels in off-site construction projects.

To solve the problem of low sensitivity of traditional capacitive proximity sensor, this paper aims to propose a novel capacitive sensor for detection of an approaching conductor.

Five capacitive proximity sensors with different structures are designed and the performance is compared with the traditional capacitive sensor. The impacts of geometrical parameters on the performance of the proposed capacitive sensor are studied. Furthermore, the sensitivity of the proposed capacitive sensor to an approaching conductor with different sizes is discussed. Also, how the designed capacitive sensor is sensitive to the lateral placement of the approaching object is analyzed.

Several capacitive proximity sensor structures have been designed and analyzed. It is found that the capacitive sensor with the top small ring-bottom large ring structure shows stronger electric field distribution around the top electrode and higher sensitivity to the approaching conductor than other sensors. Through further analysis of the proposed sensor, the results demonstrate that proposed capacitive sensor is effective for proximity object detection.

This paper proposes a novel capacitive proximity sensor with top small ring-bottom large ring structure. Compared with the traditional capacitive sensor, the proposed capacitive sensor is more sensitive to the approaching object. This would be helpful for the accurate detection of the approaching object. Also, the top and bottom electrodes are much smaller.

This study aims to examine the effect of proximity and spatial dependence on the house price index for the nascent market Dar es Salaam, Tanzania. Despite the ongoing housing market transactions, there is no single house price index that takes into account proximity and spatial dependence. The proximity considerations in question are proximal to arterial roads, public hospitals, an airport and food markets. Previous studies on sub-Saharan Africa have focused on the ordinary least squares (OLS)-based hedonic model for the index and ignored spatial and proximity considerations.

Using the OLS and spatial econometric approach, the paper tests for the significance of the two effects – proximity and spatial dependence in the hedonic price model with year dummy variables from 2010 to 2019. The paper then compares the three indices in the following configurations: without the two effects, with proximity factors only, and with both effects, i.e. proximity and spatial dependence.

The inclusion of proximity factors and spatial dependence – spatial autocorrelation – seems to improve the hedonic price model but does not significantly improve the house price index. However, further research should be called for on account of the nascent nature of the market.

The paper brings new knowledge by demonstrating that it may not be necessary to take into account proximity factors and spatial dependence for the Dar es Salaam house price index.

In order to reflect the essential characteristics of interval grey number and study the ranking method of interval grey number as a whole, this paper aims to establish a ranking method of interval grey number.

First, based on the generalised greyness of interval grey number, the definitions of referenced grey number and proximity degree are given. Second, based on the greyness distance of interval grey number, the proximity degree model is constructed and its properties are analysed. Finally, some examples are given to illustrate the effectiveness of the proximity degree model.

The results show that the index of proximity degree can better reflect the degree that the interval grey number is relatively close to the referenced grey number in different cases. The proximity degree model used to compare interval grey numbers is an extension of the model used to compare real numbers. The examples show that the proximity degree model of interval grey number proposed in this paper is feasible and effective.

The research studies show that the proximity degree model can be used for the ranking of interval grey numbers or real numbers and also for the ranking of numbers where interval grey numbers coexist with real numbers. In addition, the proximity degree model provides a theoretical basis for the establishment of grey comprehensive evaluation model.

The paper succeeds in putting forward the conceptions of referenced grey number and proximity degree based on the generalised greyness of interval grey number and constructing the proximity degree model for the ranking of interval grey number.

Previous research on salesperson-customer proximity has yielded mixed results, with some studies documenting positive proximity effects on shopping responses and others demonstrating the reverse. To reconcile such mixed findings, this paper aims to test whether and how salesperson proximity influences a series of key customer outcomes in actual retail settings using sample sizes that are considerably larger than most former investigations.

We conducted two high-powered field studies (N = 1,312) to test whether salesperson‐customer proximity influences consumers’ purchase behavior and store loyalty. Moreover, we investigated whether the short-term effects on purchase behavior were moderated by the extent to which the consumption context had a clear connection to consumers’ own bodies.

Salesperson proximity increased purchase incidence and spending in consumption contexts with a bodily basis (e.g. clothes, beauty, health), suggesting that consumers “buy their way out” in these contexts when a salesperson is violating their personal space. If anything, such proximity had a negative impact on consumers’ purchase behavior in contexts that lacked a clear bodily connection (e.g. building materials, furniture, books). Moreover, the link between proximity and consumer responses was mediated by discomfort, such that a salesperson standing close-by (vs farther away) increased discomfort, with negative downstream effects on shopping responses. Importantly, the authors found opposite proximity effects on short-term metrics (purchase incidence and spending) and long-term outcomes (store loyalty).

Drawing on the nonverbal communication literature and theories on processing fluency, the current work introduces a theoretically relevant boundary condition for the effects of salesperson-customer proximity on consumers’ purchase behavior. Specifically, the bodily basis of the consumption context is discussed as a novel moderator, which may help to explain the mixed findings in this stream of research.

Salesperson-customer proximity may serve as a strategic sales tactic to improve short-term revenue in settings that are closely tied to consumers’ own bodies and characterized by one-time purchases. However, as salesperson proximity was found to be associated with lower store loyalty, irrespective of whether the shopping setting had a bodily basis, the risk of violating consumers’ personal space may have costly consequences from a long-term perspective.

The present field studies make three central contributions. First, we introduce a novel moderator for proximity effects in various sales and service settings. Second, we test the focal hypotheses with much higher statistical power than most existing proximity studies. Finally, we document that salesperson-customer proximity ironically yields opposite results on short-term metrics and long-term outcomes, thus underscoring the importance of not solely focusing on sales effectiveness when training frontline employees.

Retail store loyalty is essential to the survival and success of a retailer. The intangible benefits provided by the social exchange in-store influence the way consumers consider their relationships with the retailer. However, its relationships with social proximity and cultural factors are not clear. Therefore, this article investigates the effects of specific cultural dimensions on loyalty behaviour, as well as the mediating role of social proximity on the relationship investigated.

This research is based on an empirical investigation undertaken in Thailand with a sample of 636 respondents. Two retail chains were investigated (Big C and Tesco). Structural equation modelling was used to test the research model and a series of research hypotheses.

The results reveal that uncertainty avoidance and long-term orientation have positive direct effects on loyalty, while collectivism does not. Furthermore, social proximity significantly mediates the effects of collectivism and long-term orientation on customer loyalty. These findings show that Thailand is a specific emerging market in which retail chains should adapt their loyalty programme accordingly.

The cultural differences could be used for segmentation strategy for retailers to engage customers in a relationship with the hypermarket. Social proximity is an efficient lever to build loyalty in Thailand. In addition, retailers could utilise certainty and steadiness message as a way to build shopper loyalty.

This research underlines the social, human dimension that consumers seek, which is opposed to the online purchase. Specifically, this study highlights the mediating role of social proximity between the relationship of cultural variables and loyalty in the retail context. Additionally, this research displays the direct and positive effects of culture on retail loyalty. That is, this paper enhances how culture and shopper-retail staff interaction can be managed to achieve store loyalty.

The purpose of this paper is to analyse relations between geographical and competence proximity and development of cooperation in cluster initiatives.

The research was based on an original theoretical concept referring to the trajectory of the development of cooperative relations in cluster initiatives. The research was carried out in mid-2017, in four purposefully selected cluster initiatives. The research sample was 132 cluster enterprises. The main research strategy involved non-experimental models; the basic method of data collection was an online questionnaire.

The results indicated that the role of geographical and competence proximity depends on the level of cooperation in a cluster initiative. In both these dimensions, proximity was important during the initial stage of cluster development: to start cooperation between the members, however, when more mature forms of cooperation were undertaken, the factor of common location was not so crucial any longer. It was also recommended to maintain some competence distance between the partners.

The main limitations referred to the static character of the data, the use of original measurement tools, which had not been tested before, the small and little differentiated research sample and the subjective nature of the research. The above-mentioned limitations should be viewed as a starting point for further empirical research.

Knowledge on the significance of geographical and competence proximity at various levels of cooperation in clusters is valuable for efficient management of a cluster and for higher competitiveness that it can achieve.

The research study contributes to the literature, which refers to the question of proximity in clusters through the analysis of relations between geographical and competence proximity and development of cooperation in cluster initiatives. The results of the research point out that the role of geographical and competence proximity evolves with the development of cooperation in cluster initiatives.

The paper aims to investigate how proximity dimensions affect the establishment of different knowledge relationships between gatekeepers and other economic actors involved in their knowledge‐based networks.

The methodology is based on an inductive research approach, represented by the explorative case study of the Polytechnic University of Turin. The University's knowledge relationships are identified and distinguished through the analysis of its patent joint‐developments, citations, and R&D projects. Then, for each knowledge relationship, geographical, organizational, and technological proximity between the University and the other economic actors are assessed, adopting suitable proxies.

The data reveal that the University activates collaborative and exploitative relationships with actors characterized by geographical, organizational, and technological proximity. In contrast, collaborative and explorative relationships seem to require actors characterized by more distant technological competencies. Furthermore, the exchange of knowledge by means of non‐collaborative relationships occurs between the University and actors characterized only by technological proximity.

On the basis of this analysis, actors can identify which proximity dimensions assume an important role for activating knowledge flows with gatekeepers. Regarding policy implications, the paper highlights how policy makers should leverage proximities in order to favour and support the exchange of knowledge, hence improving the innovative capability, competitiveness, and attractiveness of regional areas.

This research contributes to shed further light on the nature of the relationships and knowledge flows exchanged by the gatekeepers. In particular, it analyzes how relational attributes can affect the knowledge transfer processes between economic actors.