Target Customers Research Articles

Can Bike-Sharing Reduce Car Use in Alexandroupolis? An Exploration through the Comparison of Discrete Choice and Machine Learning Models

The implementation of bike-sharing systems (BSSs) is expected to lead to modifications in the travel habits of transport users, one of which is the choice of travel mode. Therefore, this research focuses on the identification of factors influencing the shift of private car users to BSSs based on stated preference survey data from the city of Alexandroupolis, Greece. A binary logit model is employed for this purpose. The estimation results indicate the impacts of gender, income, travel time, travel cost and safety-related aspects on the mode shift, through which behavioural insights are derived. For example, car users are found to be twice as sensitive to the cost of BSSs than to that of car. Similarly, they are highly sensitive to BSS travel time. Based on the behavioural findings, policy measures are suggested under the following categories: (i) finance, (ii) regulation, (iii) infrastructure, (iv) campaigns and (v) customer targeting. In addition, a secondary objective of this research is to obtain insights from the comparison of the specified logit model with a machine learning approach, as the latter is slowly gaining prominence in the field of transport. For the comparison, a random forest classifier is also developed. This comparison shows a coherence between the two approaches, although a discrepancy in the feature importance for gender and travel time is observed. A deeper exploration of this discrepancy highlights the hurdles that often occur when using mathematically more powerful models, such as the random forest classifier.

Emotions in retail setting: a systematic literature review based on current research

This study aims to find out how emotions influence shoppers’ behaviour in offline retail settings and how they get influenced by different elements. This research makes use of secondary data with an in-depth study of research papers published in the last ten years (the year 2012 onwards) in ABDC category ’A’ research journals. Emotions play a complex role in retail consumption. Personal and interpersonal relationships, atmospheric factors, including messiness & crowding, and the interplay of different emotions exert significant influence on consumer emotions. Positive emotions encourage ethical buying, which in turn gives a boost to positive emotions. Consumer ambivalence is prevalent in luxury shopping where negative emotions complement positive ones. The study is based entirely on secondary data. All the research papers which are a part of this study dealt with shoppers in malls, shopping centres, and retail stores. There is a lack of research in the context of shopping markets and shopping streets. Retailers and marketers can plan their atmospherics, marketing mix, and promotions based on the emotions they wish to engineer amongst shoppers. As the role of emotions varies according to the retail format experiences can be customized and designed to cater to target customers and staff should be trained to understand consumer emotions. An understanding of emotions can help enhance ethical buying which is beneficial for the environment and society.

Opportunities in the Pet Smart Device Market

In order to conduct this research, we identified the popularity of the pet supply market, and developed a product that could be used to locate pets through collars, check their location in real time through online software, and serve as a social platform for users. After several weeks of market research, through questionnaires and comparison, and to broaden the usefulness of the product, we concluded that pet owners need professional services to help them keep their pets healthy. Therefore, a health monitoring function was added to the product. After that, we added more sub-products based on the features that we learned through the questionnaire that our target customers needed and were interested in, and to confirm the cost and feasibility of the product.

Finding the target customers through new approach in Analytic Hierarchy Process (AHP) using Big 5 personality traits

Finding the target customers through new approach in Analytic Hierarchy Process (AHP) using Big 5 personality traits

An Analysis of Consumers’ Perception towards Rebranding

A massive increase in the variety of methods in which customers may express their identities has been one of the most important trends to emerge in the field of marketing over the course of the last ten years. This development has been largely fulled by the growth of one-to-one marketing and mass customisation, both of which have been important drivers of this trend. Because of this trend, many companies have renamed and repositioned their products and services to place more emphasis on how they complement the lifestyles of their target customers rather than on the functional aspects of the items themselves. In recent years, there has been a growing trend of rebranding in India, ranging from companies like Vodafone and Airtel and Hero MotoCorp (formerly Hero Honda) to media channels in a variety of different industries. This trend has been particularly prevalent in the telecommunications and automotive industries. In reaction to this movement, a number of multinational corporations have completely rethought and relaunched their product lines and service offerings. Throughout the process of rebranding, these companies lay a significant emphasis on the practical characteristics of their products and how those features fit into the lifestyle of a consumer. This strategy is favourably received by business houses. Companies prepare themselves to meet tough competition in their industries by revitalizing their brands, which also enables the companies to achieve a respectable part of the market. The rebranding efforts of Hero MotoCorp have produced some unexpected insights. Noteworthy are the drivers and strategy utilized by the two-wheeler company. These included an overhaul of the brand architecture, brand name, brand logo, and brand positioning with an emphasis on the development, renewal, and revitalization of the brand.

The Role of Supply Chain Innovation for New Normal on the Relationship between SCM Practices and SMEs Performance

This study proposes strategic partnerships with main suppliers (SPWMS), strategic partnerships with target customers (SPWTC), information sharing with supply chain partners (ISWSCP), internal supply chain integration (ISCI), and supply chain innovation (SCI) in new normal and SMEs performance. The result showed that: (1) SPWMS was a significant predictor of SMEs performance, (2) SCI in new normal was not a significant moderator of the relationship between SPWMS and SMEs performance, (3) SPWTC was a significant predictor of SMEs performance, (4) SCI in new normal did not significantly moderate the relationship between SPWTC and SMEs performance. (5) ISWSCP was a significant predictor of SMEs performance, (6) SCI in new normal was not a significant moderator of the relationship between ISWSCP and SMEs performance, (7) ISCI was the significant predictor of SMEs performance, (8) SCI in new normal was not a significant moderator of the relationship between ISCI and SMEs performance.

Success Criteria for Applying Construction Technologies in Residential Projects

The construction sector has seen a surge in publications over the years, indicating that construction technologies are gaining traction across all economic sectors as a result of rapid technology growth. The focus on construction technologies is evident in industrialized nations and those with high gross national product (GNP). This study was conducted to assess the success criteria of applying advanced construction technologies in residential projects. The research started with creating the evaluation criteria which were formulated by taking into account the analysis and findings of previous research and expert opinions. Then, these criteria have been evaluated according to their importance for real estate developers. To assess the contributions of construction technologies in bettering the current construction methods in residential projects, the success criteria of employing the new technologies are examined based on real estate developers in Riyadh, Saudi Arabia, who are the target customers. Research findings illustrated that the most essential criteria for utilizing construction technologies in residential projects are “Reducing cost”, “Increasing the safety on-site” and “Reducing the time”. Research results asserted that the effectiveness of construction technologies used in residential projects relies on their ability to improve the management of essential construction operations and provide concrete advantages to homeowners. By implementing advanced construction technologies in the residential sector, there is a possibility of transforming the way we strategize, construct, and maintain our homes, thus making them better.

Machinery Changes and Challenges of Architecture and Landscape Design in the Virtual Reality Perspective

With the in-depth study of architectural planning in China, more and more designers and developers are aware of the superiority of the use of technological robots to improve the speed and quality of construction, weakening past experience and based on real-world research through modern technology. However, the application of this method in the predesign work is not mature. To be specific, designers may lack expertise due to the overly detailed division of labor. In addition, the developer’s blind pursuit of profitability leads to inaccurate market positioning and forecasting. At the same time, the lack of effective communication between designers and developers, architects and owners makes the predesign work ineffective and does not provide reasonable and accurate guidance for the building design. Therefore, the predesign work requires the designer to analyze and select the site reasonably. In addition, it is necessary to conduct in-depth research on the target customers. At the same time, it is necessary to accurately position and predict the dynamic market, and then to have a thorough understanding of the norms and regulations. As a result, the predesign work enables the design to be analyzed in the context of the actual situation. Then, according to the data and information from various aspects, effective planning and argumentation are carried out, and corresponding decisions are made to provide guidance for the design. Overall, predesign is a process of rational planning of the design process. In fact, in the process of landscape design innovation, it is necessary to fully consider the requirements of the intelligent era. Therefore, multimedia and advanced robotics can continuously enhance the interaction and experience of urban landscape to make it integrate into the intelligent system of the future city. In other words, multimedia technology can enhance the new image of the city in an intelligent, digital, and humanized interactive experience. Especially in the landscape design process, the advent of computers has enabled landscape designers to use relevant design software to design their own works, thus giving them unlimited design possibilities. Virtual reality technology, as a form of computer technology, provides designers with a new creative experience in the design phase of a landscape project. To be specific, this technology allows designers to freely grasp the design space and scientifically compare the differences between design options to make the design more reasonable and complete. Therefore, this paper analyzes the differences in the general environment and concepts of 3D software virtual reality technology, starting from the characteristics of the application of 3D technology as an entry point. At the same time, this study uses the similarities and differences in technology to discover the vital role of using virtual reality technology to reconstruct the space and the impact of robots on modern architecture.

New RFM-D classification model for improving customer analysis and response prediction

Customer segmentation is seen as one of the pillars of a successful advertising campaign. Marketers give great importance to this flagship phase in the process of marketing new products. Successful segmentation will involve successful “Customer Targeting” and therefore a profitable customer marketing campaign. Many works have dealt with customer segmentation using unsupervised Machine Learning algorithms such as K-Means by applying the famous Recency, Frequency and Monetary model. That model suffers from insufficiency by ignoring other important parameters according to the field of application. In this paper, we have modified the model by adding diversity “D” as a fourth parameter, referring to the diversification of products purchased by a given customer. The segmentation based on RFM-D is applied in a retail market in order to detect behavior patterns for a customer. The proposed model increases the quality of prediction of customer behavior; Companies could predict,customers who will respond positively.

The influence of sensory marketing on customer satisfaction and its behavioral intention

With the rapid development of global tourism, the emergence of hot spring hotels has met the demand for one-stop entertainment pursued by a large number of consumer groups. Therefore, the target customer market of hot spring hotels is broader than that of ordinary hotels. At the same time, sensory marketing, as an emerging marketing strategy, has gradually been favored and applied by first-class enterprises. Therefore, to have a deeper understanding of the impact of sensory marketing on hot spring hotels, this paper analyzes the actual data obtained from the questionnaire survey, that is whether the visual, olfactory, auditory, and tactile experience will have a positive impact on customers' pleasure and satisfaction, so as to affect the subsequent customer behavior intention. By confirming the relationship between sensory marketing and planning behavior theory, this study shows that sensory experience can indeed influence customers. Future behavior intention is influenced the perception of customers' emotional value. This result not only enriches the content of the marketing strategy but also provides the hot spring hotel managers with more effective methods and strategies to improve consumer loyalty.

The importance of online reputation measurement tools and their use in establishing managerial objectives focused on efficiency

Online communication has become increasingly important for businesses in recent years, as interactions with customers can often occur through digital channels such as email, social media and web forms. In order to properly manage these online interactions and ensure that the customer experience is satisfactory, it is essential for companies to establish managerial objectives aimed at increasing efficiency. One way of achieving this is through the use of online reputation measurement tools. These tools allow companies to measure customer satisfaction, as well as customer sentiment, in real time and on an ongoing basis. This can be a valuable source of feedback in helping companies identify areas where they can improve their customer experience and ensure that they are delivering on their promises. Such tools can also be used to measure customer loyalty and identify customer segments that have higher loyalty levels, which can in turn be used to develop more targeted marketing campaigns. Additionally, these tools can be used to monitor customer complaints and resolve customer service issues more quickly and effectively. Overall, the use of online reputation measurement tools can be a powerful and useful tool for helping companies establish efficient managerial objectives. By providing a comprehensive view of customer sentiment and satisfaction, these tools can help companies identify customer issues and target customer segments more accurately. In addition, they can also be used to measure customer loyalty and help businesses develop more effective marketing campaigns. Ultimately, a better understanding of customer sentiment can lead to improved customer satisfaction and higher customer loyalty levels, resulting in higher efficiency and profitability.

Broader use of the Modern Methods of Construction (MMC) in the UK public sector: A Business Model Canvas (BMC) perspective

The UK government is promoting the Modern Methods of Construction (MMC) by presumption in favour due to outperforming traditional methods in meeting key industry goals. Despite the public construction sector’s recognition of the benefits, MMC uptake across this influential purchasing power is yet far from satisfactory. Such low adoption rates have been linked to MMC firms’ business strategies contributing to public clients’ indecision. To investigate such arguments, the study utilises a questionnaire survey and gathers responses from seventy-four decision-makers of UK-established MMC businesses. Results are then discussed in relation to the contingency theory from a Business Model Canvas (BMC) perspective, revealing the divergence between organisations outperforming others in the public sector, i.e. achieving fit. To the authors’ knowledge, this is the first construction management study to empirically propose the relationships between the nine business model elements of the BMC in relation to a specific market. The findings of this paper suggest the critical role of the Target Customer element in reaching alignment with the external environment by acting as a receiver and provider of information, superseding the importance of solely focusing on communicating added values and extended capabilities. Our findings also suggest that MMC organisations outperforming others in the UK public sector are those who are understanding public clients’ needs the most, and thus, continuously changing their business strategies to sustain alignment with any change in those needs. Overall, the paper proposes a three-dimensional consideration to achieve fit, namely, 1) internal consistency of the elements (inside-out), 2), changing external environment (outside-in), and 3) relationships between the nine elements (inside-in). The study depicts the problematic nature of the internal interrelations responsible for reaching fit in the UK public sector and deepens the understanding of how the nine BMC elements are supporting more informed and strategic decisions. Therefore, decision-makers are urged to pursue alignment by assessing the contingency of each decision made with respect to the proposed influences. Future research to focus on replicating the results in accordance with other theories involving technological and organisational change, maturity, and systems theory.

CUSTOMER VALUE PROPOSITION DIMENSIONS ON MARKET SHARE OF INDIGENOUS OIL AND GAS COMPANIES

The value customers attached to a product and the choice of such product is paramount to any organisation aspiring to capture larger market share. However, some organisations do not strategically position their products to the minds of customers in terms of functional, monetary, or psychological values, therefore losing a greater percentage of the market share. This study examined the effect of customer value proposition on market share of indigenous oil and gas companies in Rivers State, Nigeria. Survey research design was adopted for the study. The population of study consist of 322 management staff of 11 indigenous oil and gas companies in River state, Nigeria. Total enumeration was used for the study sample size as the population was not large. Primary source of data collection was adopted via a validated instrument. Cronbach alpha reliability coefficients for the constructs ranged from 0.728 to 0.786. Simple random sampling technique was used and 307 copies of the questionnaire came back representing 84%. Data was analyzed using descriptive and inferential statistics. Multiple regression was used to test the hypothesis. Findings revealed that Customer value proposition dimensions (functional, monetary, psychological value proposition) have significant effect on market share of indigenous oil and gas companies in River state, (Adj.R2 = 0.582; F (3, 303) = 143.149, p < 0.05). The study concludes that customer value proposition dimensions have significant effect on the market share of the selected indigenous oil and gas companies in Rivers State, Nigeria. The study recommended that management of the selected indigenous oil and gas companies in River State should invest in enhancing their ICT tools, skills and capabilities. Developing value propositions that are tailored to the specific needs and preferences of their target customers.

What are the Instruments Local Officials can use to Brand their Places?

Place branding is a phenomenon that has grown over the past decade as more and more places seek to become brands in the hope of creating a certain uniqueness that will distinguish them and highlight their competitive advantage to attract and retain various target customers. However, a place branding strategy must not be conceived only around the creation and the management of a place brand but also by mobilizing other ways in order to strengthen the place existence and give it a meaning in the minds of intramural and extramural customers. Thus, the aim of this article is to expose the different instruments that local officials can use as part of a general place management strategy. The instruments of place branding presented here are the place association with personalities, the construction of flagship buildings and structures, as well as the organization of hallmark events.

Value Proposition of the Radiology Professional Society Meeting.

What is the value proposition of a radiology professional society meeting? The answer to this question may be different depending on which radiologist you ask and which meeting you are asking about. The Oxford English Languages online dictionary defines “value proposition” as “an innovation, service, or feature intended to make a company or product attractive to customers”(1). From a marketing standpoint, the ideal value proposition for an organization would be one that supplies features that the target customers wanted, that the index organization excels at delivering, and that the index organization's competition could not provide.

Using the principles of the sharing economy as a method of increasing the efficiency of the enterprise in the post-war period

Relevance of the research topic. Today, a big problem for enterprises is a significant decrease in demand for their products. The main reason for this is the destruction of critical infrastructure because of hostilities, high rates of inflation, a decrease in the real income of the population, and a humanitarian disaster in the south and east of the country. Formulation of the problem. Using, for example, diversification as a method of increasing the efficiency of production and sales of products is no longer enough. It is necessary to look for and use new tools to protect enterprises from declining sales. The purpose of the article is to apply the principle of rational consumption to ensure the efficiency of the enterprise in the post-war period. Results of the article. It was determined that the principle of rational consumption together with the use of technological solutions of subscription systems open wide prospects for domestic enterprises. After all, using the principles of the sharing economy will make it possible to modernize business processes in such a way that enterprises can provide their services hundreds of times cheaper than before and at the same time be profitable, significantly expand their geography and create long-term financial relations with their consumers. Field of application of results. The conclusions of the article can be used mainly at enterprises in the sphere of wholesale and retail trade, manufacturing. Conclusions. The activity of enterprises in the field of trade and production is accompanied by certain difficulties. Sales of non-essential goods will decrease in the coming years. To prevent the bankruptcy of enterprises that do not belong to industries that provide basic human needs, the managers of these enterprises can introduce the principles of the sharing economy to create attractive, and most importantly, affordable and mutually beneficial conditions for cooperation with target customers. These principles can be applied both in the B2B (business to business) and B2C (business to consumers) sectors.

Study on the Comparison of Artificial Intelligence Model and the Utilization of Customer Targeting for Fitness Member Re-registration

Study on the Comparison of Artificial Intelligence Model and the Utilization of Customer Targeting for Fitness Member Re-registration

Mobile Application Software Requirements Specification from Consumption Values

In today’s society, mobile applications are becoming more popular and providing several advantages. However, users will resist using a product regardless of how well-tested or solid it is if the wrong requirements are implemented. Understanding the factors that influence the purchase of mobile applications can provide useful information for mobile application design and development. Hence, the purpose of this research is to better understand the impact of consumption values on customers in order to identify the software requirements for a mobile application. This study analyzes the possible behavioral changes of similar groups of university students in a five-year period. For this purpose, a questionnaire is administered to engineering faculty students in 2017 (46 females and 66 males) and 2021 (45 females and 90 males) to better understand customer behavioral changes. The findings highlight the significance of conditional value in customer behavior when purchasing mobile applications. Even though the other consumption values were found to have a negligible effect, there is some evidence indicating that the impact of consumption values on different target customer groups may vary considering their gender and familiarity with apps. Further research needs to be conducted to better understand the possible impact of age, cultural differences, education levels, and special considerations such as visually impaired people. Therefore, this study encourages mobile application designers and developers to raise awareness for the effect of consumption values such as conditional value on their customers’ mobile application purchasing behaviors. The possible impact of the consumption values needs to be deeply understood, specifically for the target customer groups, and it should be considered in the software requirements specification (SRS), which is one of the important principles that allow software under consideration for development to function. As a result, a better understanding of consumption values will help developers design and develop better applications by specifying software requirements and marketing strategies.

A Systematic Review of the Business Contingencies Influencing Broader Adoption: Modern Methods of Construction (MMC)

The existing body of knowledge on the Modern Methods of Construction (MMC) reflects their benefits and relative advantages, particularly in addressing contemporary construction challenges. However, the uptake of such methods is minimal, particularly in the public construction sector. The low uptake has led MMC firms to liquidation due to the lack of an economy of scale. Studies, particularly recently, explain that the low adoption rates are linked to the inappropriateness of existing business models responsible for driving broader demand. This paper assumes that the lag in MMC adoption could be related to the ability of supply business models to communicate confidence to demand. Public clients are foreseen as important target customers, acquiring influential status across the industry, with an expected potential to drive innovation adoption across the sector. A systematic review method allows scholars to assess existing literature by critically locating and analysing relative publications to approach the study’s aim. Through utilising this method, the study classifies the arguments against the Business Model Canvas (BMC), and argues the results with respect to contingency theory, and in turn, synthesizing a new meaning that reveals the considerations needed to boost business model performance when penetrating the public sector. Hence, the critical analyses of 70 studies relative to MMC, led to proposing the contingencies that are believed to better structure business models. Results suggest that MMC firms can embrace specific reforms and gain more momentum when communicating confidence to public client organisations; however, a guideline that conceptualises the interactions between the elements and their influence on the decision-making does not exist, and this may be inhibiting coherency on how MMC businesses drive broader demand. To the authors’ knowledge, this is the first study to utilise the contingency theory as an attempt to disseminate previous efforts to explain the low adoption of MMC in the UK public sector.

An Inventory Model with Advertisement- and Customer-Relationship-Management-Sensitive Demand for a Product’s Life Cycle

Advertisements play an important role in communicating with target customers. A higher advertisement frequency increases costs but may increase the chances of acquiring new customers. Moreover, faced with a wide-ranging array of products that might fit specific needs, customers usually buy according to expectations about value and satisfaction. When customers are satisfied with a purchasing experience, they are more likely to buy again and share their experiences with others. Hence, companies are concerned about increasing customer value and service satisfaction to develop and manage customer relationships. This maintains a company’s competitive edge and can improve its market share. In this article, we incorporate the frequency of advertisements and the cost of customer relationship management (CRM) into the demand function under a product life cycle (PLC). Customers can return products in the appreciation period offered by a retailer. A profit-maximizing model is developed to analyze the joint marketing and ordering policy of each stage of a product’s life cycle with a product return guarantee. We construct an algorithm to identify the optimal decisions. Finally, numerical examples are presented to illustrate the proposed model, and managerial insights are obtained from a sensitivity analysis, followed by conclusions and future research.