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A common tactic employed by retailers to enhance shoppers' purchase intentions is to promote a special offer product for purchase only at certain selected stores. This research aimed to identify the specific processes by which restricting the outlets drives intention to buy.

Three between-subjects experiments examined the effect on purchasing intention of outlet selectivity, as mediated by participants' perceptions of temporal accessibility and geographic accessibility (study 1), and investigated the extent to which decisions to buy might be moderated by the limited number of stores where the item would be available (study 2) and by “limited market,” in which the right to buy a product is restricted to a limited set of consumers (study 3).

The study findings are that joint consideration of the perceived temporal and geographic accessibility of a product generates two possible ways in which availability limited to certain stores makes the product seem hard to get and motivates consumer purchase decisions. However, such effect is confined to conditions in which the distribution of those outlets is low-density. When there was no change in those scores if restrictions were lower, participants' responsiveness to decreased availability was significantly raised by announcing that the chance to buy the product is further limited to “eligible” customers.

This research focused on consumer responses to outlet selectivity, a branch of inquiry that treats an overlooked facet of limited availability and provides useful assistance for developing methods to stimulate consumers' desire to purchase.

The purpose of this paper is to present an investigation into the causes of promotional on‐shelf‐availability (on‐shelf‐availability) shortfalls in retailing.

The research follows a multiple‐case study research design involving seven major retailers and four multinational food manufacturers operating in the UK. The data collection took the form of semi‐structured interviews with 110 practitioners across 24 sites. Observations and documentation were used as supporting evidence.

Improving promotional on‐shelf‐availability presents retailers and manufacturers with a complex set of inter‐connected problems distributed across the supply chain. This research identified 32 causes affecting on‐shelf‐availability, grouped into eight themes, six of which are generic (forecasting, collaboration, replenishment, IT, distribution and production), and two which are specific to promotions (timescales and promotional process). This classification provides practitioners with a framework to improve promotional on‐shelf‐availability and academics with a more comprehensive range of the factors affecting on‐shelf‐availability, including two new themes not previously documented.

Although the number of cases does not allow statistical analysis, the size and scope of the organizations involved helps to underpin the generalizability of the findings. The volume of data collected for retailers is significantly higher than for manufacturers, although this only reflects the importance of retailers in ensuring on‐shelf‐availability.

This paper presents a framework designed to provide a steer for further research into promotional on‐shelf‐availability and to help retail professionals to prioritize their actions towards improving promotional on‐shelf‐availability.

While on‐shelf‐availability has been the subject of much research, promotional on‐shelf‐availability has not been investigated in significant depth. This research is, to our knowledge, the first to investigate the causes of poor promotional on‐shelf‐availability and expands the knowledge of the field by highlighting the similarities and differences between traditional on‐shelf‐availability and promotional on‐shelf‐availability. Given the increasing use of promotions as a competitive strategy this area of research is both timely and important.

The purpose of this study is to examine consumer behaviors toward a bundle of tickets and lodging using two different message framing: (1) scarcity framing for a high demand event, the All-Star Game, and (2) discount framing for a lower demand event, an MLB mid-week game.

Data were collected through two online surveys of 836 sport consumers in total on Amazon Mechanical Turk (MTurk) and were analyzed using a mix of analysis of variances (ANOVAs) and analysis of covariance (ANCOVA).

Consumers are likely to buy products separately in a scarce situation. When discounts are offered as benefits of choosing a bundle, consumers with high willingness to pay (WTP) have higher purchase intentions (PI) and perceived value toward cumulative discounts.

This is the one of few studies that investigate (1) price bundling of products from two disparate industries where consumer demands fluctuate, (2) the effects of scarcity in a bundle, and (3) all possible discount messaging in a bundle.

This monograph progresses from a consideration of definitional issues to the development of a conceptual model for marketing‐logistics interaction and finally to a discussion of the issues of implementation of the model within the context of marketing strategy. Thus, following an introduction, Part II begins with definition of the field and examines the position of physical distribution in relation to marketing. Part III discusses the relationship of physical distribution and macro‐marketing, and is thus concerned about the social, aggregative goals of logistics systems, including the costs of distribution. Part IV continues this argument, examining specifically the influence of physical distribution on channel structure. Part V then focuses on the assumptions underlying the customer service function, asking how physical distribution can influence final demand in the market place. Part VI presents a conceptual model of marketing‐logistics demand stimulation. The operational issues concerned with its implementation are shown in Part VII; and a summary of the relevant points is presented in Part VIII. The concern has been not with presenting either new computational models nor empirical data but with presenting a new perspective on the marketing‐logistics interface. There is a need to reduce the barriers between these fields and to present more useful ways for co‐operation.

The prevalence of celiac disease is increasing alarmingly. The only and effective treatment for this disease is a strict gluten-free diet Efforts have been made by industrialists to produce gluten-free products (GFPs); however, their low availability and high cost, compared to gluten-containing products (GCPs) still remain among the factors that cause gluten-free adherence failure. The objective of this survey is to compare the availability and cost of GFPs in supermarkets in two Moroccan cities, Marrakech and Casablanca, and on e-commerce platforms and see how they compare to GCPs.

This is a cross-sectional study that targets supermarkets and e-commerce websites that sell GFPs food and their GCPs equivalents. The price of each product is recorded per 100 g.

The study surveys 271 GFPs and their 579 GCPs equivalents that were subsequently divided into six categories. The “GF Cookie and Cakes” category came on top of the list of products. GFPs were more available on e-commerce websites than at supermarkets in two Moroccan cities (p = 0.003). The GFPs are 364% (115–1309%) more expensive than their GCPs counterparts. Also, the authors recorded a significant price difference between GFPs sold in supermarkets and those sold on online.

This study reveals that labeled GFPs are less available and more expensive than their equivalents GCPs in Morocco. This affects GF diet adherence and quality of life of celiac patients. The patients who use GFPs need financial compensation from the national government.

The demand for contracts on assets availability has increased. Recently published papers show that the use of asset health monitoring technologies is being encouraged to improve the asset performance. This is based on reason rather than analysis. This paper aims to understand and assess the effect of different types of business processes for maintenance resource levels on the behaviour of the maintenance operations and asset availability located at different customer locations using different asset monitoring levels.

A discrete event simulation (DES) model was developed to mimic complex maintenance operations with different monitoring levels (reactive, diagnostics, and prognostics). The model was created to understand and assess the influence of resources (labour and spare parts) on a particular maintenance operation. The model was created to represent different levels of asset monitoring to be applied in a case study. Subsequently, different levels of spare parts (ranging from deficient inventory to a plentiful spares inventory) and labour were applied to show the effects of those resources on the asset availability.

This research has found that the DES was able to discern different processes for asset monitoring levels in complex maintenance operations. It also provided numerical evidence about applying such asset monitoring levels and proved that the higher asset monitoring level does not always guarantee higher asset availability.

The developed model is a unique model that can provide the decision makers of maintenance operations with numerical evidence to select an appropriate asset monitoring level based on their particular maintenance operations.

A novel DES model was developed to support maintenance operations decision makers in selecting the appropriate asset monitoring level for their particular operations. This unique approach provides numerical evidence rather than reasoning, and also proves that the higher asset monitoring level does not always guarantee higher asset availability.

This study aims to provide one of the first research works that, using the constructs of the theory of planned behaviour (TPB), analysed the levels of purchase intention of organic products.

The study was quantitative with a correlational scope and a cross-sectional design. The study population consisted of 566 university millennials from Ecuador. The results were processed through the exploratory factor analysis (EFA), the confirmatory factor analysis (CFA) and the structural equation modelling (SEM).

The subjective attitudes and norms influence intentions to buy organic products. However, price mediated by perceived behavioural control reduces purchase intentions, while product availability does not.

This study is one of the first research works, based on the constructs of the TPB which was carried out to know if the attitudes and subjective norms of Ecuadorian university millennials, are related to their purchase intentions for organic products.

Key components of the logistics mix are described in an effort to create an understanding of the total logistics concept. Chapters include an introduction to logistics; the strategic role of logistics, customer service levels, channel relationships, facilities location, transport, inventory management, materials handling, interface with production, purchasing and materials management, estimating demand, order processing, systems performance, leadership and team building, business resource management.

Following the economic liberalization in recent years, consumer products from many countries are now competing with each other in the ‘big emerging market’ of India. In this paper, Indian consumers' perceptions of electronic and electrical products from the United States, Japan, South Korea, Germany, Britain, and India are compared by means of an empirical study. The consumers are found to hold distinctly different views of products from different countries in terms of quality, value, image, promotion, and availability. Based on the results, managerial implications are drawn for marketers from different countries who are trying to make themselves more competitive in the Indian market.

This study aims to identify the major factors influencing the consumers to prefer milk products and also to analyze the awareness level of the Indian consumers.

In this study, the data is obtained through a structured questionnaire from Indian consumers considering convenience sampling under the nonprobability sampling technique. The consumer preference is explained using a multiple-regression model followed by analysis of variance (ANOVA), which shed insight on the significant differences between the variables that influence consumer preference for dairy products.

Investigation is done to analyze the factors influencing the consumers' buying behavior toward milk and its products. The results showed that quality, health consciousness, price and availability are the most influencing factors to buy milk products. Quantity of milk showed a significant relationship between age, monthly income and family size.

This study helps marketing managers to frame the marketing strategies based on consumer preference, quality, health consciousness, price and availability. The research outcome will not only be advantageous for the entrepreneurial perspective but also takes care of consumer likeliness. Though the research reveals the opinion of Indian consumers, it limits the likeliness of the western world. Because of the scarcity of resources, several dairy products are unexplored, which could pave the future scope of research.

The novelty of this study is to identify the quality, health consciousness, price and availability are the most influencing factors to buy milk products considering ANOVA and the multiple regression model.