Search results

This paper aims to analyses the development of exploitation and exploration capabilities, and the role of ambidexterity, in the evolution of small Spanish wineries toward multi-channel distribution systems.

A qualitative methodology based on the analyses of multiple cases supported by a computer assisted qualitative data analysis software with an abductive approach was used to study the relationship between ambidexterity and the multi-channel integration of six wineries.

Companies with more advanced multi-channel distribution systems have more developed ambidexterity capabilities. This ambidexterity stems fundamentally from the ability to simultaneously maintain relations with distributors and innovate and search for creative ways to satisfy new customers.

The research is based on insights from companies based in Spain.

Spanish small and medium enterprises in the sector are in an underdeveloped phase of multi-channel integration. To be successful in this process, these companies must combine exploitation and exploration capabilities.

If the company is able to develop an integrated multi-channel distribution system leading to an omnichannel system, consumers will benefit from it, getting complete information at each specific stage of shopping.

This study provides the first description in academic literature of the usefulness of the concept of ambidexterity as a dynamic capability to explain the degree of development and multi-channel integration.

The purpose of this study is to demonstrate and characterise a soft-tooled micro-injection moulding process through in-line measurements and surface metrology using a data-intensive approach.

A soft tool for a demonstrator product that mimics the main features of miniature components in medical devices and microsystem components has been designed and fabricated using material jetting technique. The soft tool was then integrated into a mould assembly on the micro-injection moulding machine, and mouldings were made. Sensor and data acquisition devices including thermal imaging and injection pressure sensing have been set up to collect data for each of the prototypes. Off-line dimensional characterisation of the parts and the soft tool have also been carried out to quantify the prototype quality and dimensional changes on the soft tool after the manufacturing cycles.

The data collection and analysis methods presented here enable the evaluation of the quality of the moulded parts in real-time from in-line measurements. Importantly, it is demonstrated that soft-tool surface temperature difference values can be used as reliable indicators for moulding quality. Reduction in the total volume of the soft-tool moulding cavity was detected and quantified up to 100 cycles. Data collected from in-line monitoring was also used for filling assessment of the soft-tool moulding cavity, providing about 90% accuracy in filling prediction with relatively modest sensors and monitoring technologies.

This work presents a data-intensive approach for the characterisation of soft-tooled micro-injection moulding processes for the first time. The overall results of this study show that the product-focussed data-rich approach presented here proved to be an essential and useful way of exploiting additive manufacturing technologies for soft-tooled rapid prototyping and new product introduction.

Understanding customer behavior from the perspective of channel integration has become a major stream of research in multi-channel retailing literature. Yet, despite recent advancements in scholarship, how retailers can most effectively sustain customers in online retailing remains unclear. Scholars have suggested online–offline channel integration (OOCI) as an effective multi-channel approach for increasing online loyalty; yet, few studies have explored OOCI's influencing mechanism. This study addresses that gap by investigating how OOCI helps achieve customer loyalty online and further examines the moderating role of retailer credibility in the influencing mechanism of OOCI.

The research model driving this study draws upon the stimulus-organism-response (S-O-R) model and cue consistency theory. The authors collected a sample of 259 customers in China with experience making multi-channel purchases from retailers that have implemented OOCI in online retailing. Structural equation modeling and response surface analyses were employed to conduct data analysis.

The results revealed that the relationship between OOCI and customers' online channel loyalty was mediated by customers' perceptions of the usefulness and risks of online channel usage. The results also found that congruence and incongruence between informational OOCI (IOOCI) and fulfillment OOCI (FOOCI) had different curvilinear associations with perceived online channel usefulness and perceived online channel risk. In addition, retailer credibility weakened the effects of IOOCI on perceived online channel usefulness and FOOCI on perceived online channel risk but strengthened the effect of IOOCI on perceived online channel risk and had no impact on the effect of FOOCI on perceived online channel risk.

Theoretical and practical implications of this study are also discussed.

The paper aims to consider the neglected area of customer relationship management (CRM) and customer management's “dark side”; and identify the key types of dark side behaviours of service providers as well as integrated approaches to CRM that will assist in overcoming dark side behaviour.

Based on an extensive literature review, supplemented by insights drawn from an on‐going longitudinal study of CRM, the authors develop a classification of dark side behaviour types.

The paper identifies ten forms of dark side behaviour that may be grouped into three broad categories based on means used and target. It illustrates how different types of dark side behaviours may be linked to the key strategic CRM processes.

The paper examines how these dark side practices may be addressed by adoption of a more enlightened approach to CRM.

The dysfunctional forms of CRM and customer management have been neglected as an area of research in marketing. The paper identifies and classifies service provider dark side practices and outlines how adoption of a more strategic approach to CRM can address dark side behaviours and move towards more enlightened marketing practices.

The concepts of customer relationship management (CRM) and knowledge management (KM) both focus on allocating resources to supportive business activities in order to gain competitive advantages. CRM focuses on managing the relationship between a company and its current and prospective customer base as a key to success, while KM recognizes the knowledge available to a company as a major success factor. From a business process manager’s perspective both the CRM and KM approaches promise a positive impact on cost structures and revenue streams in return for the allocation of resources. However, investments in CRM and KM projects are not without risk, as demonstrated by many failed projects. In this paper we show that the benefit of using CRM and KM can be enhanced and the risk of failure reduced by integrating both approaches into a customer knowledge management (CKM) model. In this regard, managing relationships requires managing customer knowledge – knowledge about as well as from and for customers. In CKM, KM plays the role of a service provider, managing the four knowledge aspects: content, competence, collaboration and composition. Our findings are based on a literature analysis and six years of action research, supplemented by case studies and surveys.

The purpose of this paper is to review, critique and develop a research agenda for the Elaboration Likelihood Model (ELM). The model was introduced by Petty and Cacioppo over three decades ago and has been modified, revised and extended. Given modern communication contexts, it is appropriate to question the model’s validity and relevance.

The authors develop a conceptual approach, based on a fully comprehensive and extensive review and critique of ELM and its development since its inception.

This paper focuses on major issues concerning the ELM. These include model assumptions and its descriptive nature; continuum questions, multi-channel processing and mediating variables before turning to the need to replicate the ELM and to offer recommendations for its future development.

This paper offers a series of questions in terms of research implications. These include whether ELM could or should be replicated, its extension, a greater conceptualization of argument quality, an explanation of movement along the continuum and between central and peripheral routes to persuasion, or to use new methodologies and technologies to help better understanding consume thinking and behaviour? All these relate to the current need to explore the relevance of ELM in a more modern context.

It is time to question the validity and relevance of the ELM. The diversity of on- and off-line media options and the variants of consumer choice raise significant issues.

While the ELM model continues to be widely cited and taught as one of the major cornerstones of persuasion, questions are raised concerning its relevance and validity in 21st century communication contexts.

Since banks do not sell tangible products, they rely heavily on customer interactions and retention, which requires service quality, customer satisfaction and customer loyalty. Banks must innovate and develop new services and expand customer engagement efforts beyond stores, kiosks, direct mail and websites to include social media, mobile applications and location-based services in order to meet their customers’ growing demands. A multi-channel strategy that integrates the offline and online presences of banks can increase quality, customer satisfaction and loyalty. This paper aimed to use a service quality scale to: (1) examine the association between service quality and customer satisfaction; (2) examine the association between customer satisfaction and customer loyalty; (3) examine the indirect association between service quality and customer loyalty through customer satisfaction; and (4) examine the mediation effect of multi-channel integration quality in the relationships between service quality, customer satisfaction and customer loyalty.

The data was obtained from banks in Saudi Arabia. The analysis was based on an online survey of 265 Saudi bank customers. The multi-channel integration quality model and Statistical Package for the Social Sciences (SPSS) were used to test the proposed hypothesis and conduct the analysis.

The results found that there was a statistically significant link between service quality and customer satisfaction in the Saudi banking industry. Service quality did not directly affect customer loyalty. When multi-channel integration quality was moderate to high, service quality affected customer loyalty through customer satisfaction. For service quality and customer loyalty in the Saudi banking sector to be achieved, customers must be satisfied, but also the bank’s brand must manage the quality of integration channels provided to them with care, and thus branding plays a key role in achieving customer loyalty in the Saudi banking sector.

The academic community has provided little evidence to support how the relationships between constructs such as service quality, customer satisfaction, customer loyalty and multi-channel integration quality apply to the Saudi banking sector. A conceptual framework was proposed to show how these constructs affect the Saudi banking sector. An empirical study was conducted to see how the framework held up in banking settings. The conceptual framework serves to advance the fields of business and management and banking and their respected literature, as well as advance the understanding of multi-channel integration in boosting customer satisfaction and loyalty through high service quality in the Saudi banking sector.

The purpose of this study is to design a wearable medical device as a human care platform and to introduce the design details, key technologies and practical implementation methods of the system.

A multi-channel data acquisition scheme based on PCI-E (rapid interconnection of peripheral components) was proposed. The flexible biosensor is integrated with the flexible data acquisition card with monitoring capability, and the embedded (device that can operate independently) chip STM32F103VET6 is used to realize the simultaneous processing of multi-channel human health parameters. The human health parameters were transferred to the upper computer LabVIEW by intelligent clothing through USB or wireless Bluetooth to complete the transmission and processing of clinical data, which facilitates the analysis of medical data.

The smart clothing provides a mobile medical cloud platform for wearable medical through cloud computing, which can continuously monitor the body's wrist movement, body temperature and perspiration for 24 h. The result shows that each channel is completely accurate to the top computer display, which can meet the expected requirements, and the wearable instant care system can be applied to healthcare.

The smart clothing in this study is based on the monitoring and diagnosis of textiles, and the electronic communication devices can cooperate and interact to form a wearable textile system that provides medical monitoring and prevention services to individuals in the fastest and most accurate way. Each channel of the system is precisely matched to the display screen of the host computer and meets the expected requirements. As a real-time human health protection platform technology, continuous monitoring of human vital signs can complete the application of human motion detection, medical health monitoring and human–computer interaction. Ultimately, such an intelligent garment will become an integral part of our everyday clothing.

The purpose of this paper is to complement existing work on multi‐channel environments of shopping experiences and retail channels by exploring the use of different channels in the consumer decision‐making processes associated with ticket purchase for performances in a regional annual theatre festival.

Analysis of the audience questionnaire focuses on the relative use of different channels and specifically the importance of the Internet in the stages leading up to attendance at the festival – awareness, information gathering, decision making and purchase transaction.

The extent of use of different channels at different stages in the decision‐making process varies, although the Internet is the only channel that can be and is used to support all stages of the process. Throughout the process, with the exception of purchase transaction, the use of word‐of‐mouth is significant. Customers who started using the Internet at the awareness stage often continued to use it. Neither gender nor age has a significant effect on patterns of channel use.

This study contributes to research into the use of multiple channels in consumer decision making, particularly in relation to customer multi‐channel employment, the factors that affect channel use, and the role of word‐of mouth in multi‐channel contexts.

The purpose of this paper is to develop a framework and a reference process for achieving channel alignment in companies that use traditional and electronic marketing channels. Instruments for gathering and structuring of information on channel deployment are proposed and integrated in the process of strategy formulation.

The research grounds on a conceptual model of strategic channel alignment (MSCA) that is a recently proposed modification of the well‐established strategic alignment model (SAM). Framework, instruments, and reference process were developed by drawing on results from literature analysis and experiences gathered in a research and consulting project at a large multinational corporation. The case context is explicated.

The developed management tools were successfully applied in strategic business units of the case company. They were found to be useful for facilitating strategic channel alignment by fostering processes of communication and collaboration between managers across organizational units. The framework helps to implement a common “strategy language” on multi channel management. The instruments support the creation of a shared information base on a company's multi channel strategy and operations.

The paper contributes to research on strategic alignment processes and discusses model‐driven alignment as social process that aims at the construction of a common understanding of multi channel issues. The beneficial role of management tools in such processes is spelled out.

The generic nature of the proposed management tools makes further practical applications possible. Companies that strategically address the alignment of their marketing channels can utilize the methodology and adapt it to their specific needs.

The paper translates a conceptual management model into a practical methodology. Models like the SAM and the MSCA are frequently discussed but research and reports on their practical value has been scarce. This paper contributes to filling this gap and develops tools of practical value in a particular domain of strategic management.