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Purpose – This paper addresses the issues related to the practice of relationship marketing at the organizational level. Considering the influence of various factors, this study offers a theoretical framework necessary to create, maintain, and enhance the business relationship. Design/methodology/approach – The research is based on a systematic review of existing literature, including journal articles, subject-specific professional websites, and textbooks on relationship marketing. Literature reviews relating to the Nordic School, Industrial Marketing and Purchasing (IMP) Group Approach, and the North American School are included. Findings – The relationship marketing approach has evolved since the pre-industrial era, and more organizations are embracing this marketing stance in the current, post-industrial era. A theoretical framework that consists of influential variables for creating, maintaining, and enhancing relationships is proposed to explore this multidimensional construct. Information on proper conditions is synthesized to help marketers identify an appropriate environment for implementing this approach in the business context. Limitations – Given the increasing complexity of relationship marketing and the increasing need to understand this approach, the proposed theoretical framework could be useful for improving the understanding of multi-dimensional aspects of relationship marketing. Consequently, directions for future research in relationship marketing are identified. Originality/value – This study provides a coherent picture of relationship marketing viewed through the proposed theoretical framework, based on a systematic literature review. Specifi cally, it is probably a first instance in which a paper sought to address the practice of relationship marketing by including tripartite areas – namely, creating, maintaining, and enhancing relationships in a Business to Business (B2B) setting, which is scattered across various disciplines., Svrha – U radu se istražuju problemi vezani uz praksu marketinga odnosa i suradnje na organizacijskoj razini. Uzimajući u obzir utjecaj različitih faktora, rad nudi teorijski okvir za stvaranje, održavanje i unapređenje poslovnog odnosa. Metodološki pristup – Istraživanje se temelji na sustavnom pregledu postojeće literature uključujući znanstvene članke iz časopisa, tematski vezane profesionalne web stranice i udžbenike o marketingu odnosa i suradnje. U pregled literature uključeni su pristupi istraživačkih inicijativa Nordic School, Industrial Marketing and Purchasing (IMP) Group te North American School. Rezultati i implikacije – Marketing odnosa i suradnje razvija se od predindustrijskog do poslijeindustrijskog vremena, a sve više organizacija prihvaća ovaj pristup. Za ovaj je multidimenzionalni konstrukt predložen teorijski okvir koji se sastoji od utjecajnih varijabli za stvaranje, održavanje i poboljšanje odnosa. Sintetiziraju se informacije o odgovarajućim uvjetima koje bi marketinškim stručnjacima pomogle u pronalasku odgovarajućega okruženja za provedbu ovoga pristupa u kontekstu poslovnog tržišta. Ograničenja – S obzirom na sve veću složenost marketinga odnosa i suradnje vis-à-vis sve veće potrebe za razumijevanjem pristupa, predloženi bi teorijski okvir bio koristan za bolje razumijevanje multidimenzionalnih aspekata marketinga odnosa i suradnje. Slijedom toga, utvrđeni su pravci za buduća istraživanja u marketingu odnosa i suradnje. Doprinos – Rad pruža koherentnu sliku marketinga odnosa i suradnje promatranoga kroz predloženi teorijski okvir, temeljen na sustavnom pregledu literature. Konkretno, ovo je vjerojatno prvi put da se rad pokušao baviti praksom marketinga odnosa i suradnje uključivanjem tripartitnog područja - stvaranjem, održavanjem i poboljšanjem odnosa u poslovnom (B2B) području koje je raspršeno po različitim disciplinama.

Neuromarketing utilizes Brain-Computer Interface (BCI) technologies to provide insight into consumers responses on marketing stimuli. In order to achieve insight information, marketers spend about $400 billion annually on marketing, promotion, and advertisement using traditional marketing research tools. In addition, these tools like personal depth interviews, surveys, focus group discussions, etc. are expensive and frequently criticized for failing to extract actual consumer preferences. Neuromarketing, on the other hand, promises to overcome such constraints. In this work, an EEG-based neuromarketing framework is employed for predicting consumer future choice (affective attitude) while they view E-commerce products. After preprocessing, three types of features, namely, time, frequency, and time-frequency domain features are extracted. Then, wrapper-based Support Vector Machine-Recursive Feature Elimination (SVM-RFE) along with correlation bias reduction is used for feature selection. Lastly, we use SVM for categorizing positive affective attitude and negative affective attitude. Experiments show that the frontal cortex achieves the best accuracy of 98.67±2.98, 98±3.22, and 98.67±3.52 for 5-fold, 10-fold, and leave-one-subject-out (LOSO) respectively. In addition, among all the channels, F

Neuromarketing has become an academic and commercial area of interest, as the advancements in neural recording techniques and interpreting algorithms have made it an effective tool for recognizing the unspoken response of consumers to the marketing stimuli. This article presents the very first systematic review of the technological advancements in Neuromarketing field over the last 5 years. For this purpose, authors have selected and reviewed a total of 57 relevant literatures from valid databases which directly contribute to the Neuromarketing field with basic or empirical research findings. This review finds consumer goods as the prevalent marketing stimuli used in both product and promotion forms in these selected literatures. A trend of analyzing frontal and prefrontal alpha band signals is observed among the consumer emotion recognition-based experiments, which corresponds to frontal alpha asymmetry theory. The use of electroencephalogram (EEG) is found favorable by many researchers over functional magnetic resonance imaging (fMRI) in video advertisement-based Neuromarketing experiments, apparently due to its low cost and high time resolution advantages. Physiological response measuring techniques such as eye tracking, skin conductance recording, heart rate monitoring, and facial mapping have also been found in these empirical studies exclusively or in parallel with brain recordings. Alongside traditional filtering methods, independent component analysis (ICA) was found most commonly in artifact removal from neural signal. In consumer response prediction and classification, Artificial Neural Network (ANN), Support Vector Machine (SVM) and Linear Discriminant Analysis (LDA) have performed with the highest average accuracy among other machine learning algorithms used in these literatures. The authors hope, this review will assist the future researchers with vital information in the field of Neuromarketing for making novel contributions.

Purpose The purpose of this paper is to explore the domain relevance of a comprehensive yet almost overlooked theoretical framework for studying organic food purchase behavior in a global context. This conceptual paper argues that there exists an apparently powerful model in health behavior domain that may readily be brought into organic food purchase behavior research. The paper argues for domain relevance and proposes that Montano and Kasprzyk’s integrated behavior model may readily be used in organic food behavior studies with some relevant modification. Design/methodology/approach The paper follows an exploratory approach and shows how variables used in the past may be aggregated to the model in question. The challenge is addressed by following both the inductive and the deductive reasoning. Deductive reasoning calls for investigating whether such behavior may be classified as health behavior. Inductive reasoning calls for proving relevance of all the variables in the aforesaid model to the organic food research context. Findings The paper concludes that the Montano and Kasprzyk’s model is theoretically relevant to the organic food behavior domain. However, it is observed that the domain-specific operationalization is necessary for further empirical studies. Research limitations/implications Since the model was rarely tested empirically in predicting organic food purchase intention, the variable-specific relevance may not warrant the relevance of the whole model with intertwined relationships at the same time. Practical implications The paper may pave a way toward further empirical research and may also explain the apparent intention-behavior gap as often reported in literature. Originality/value The paper may provide a useful direction in future organic food purchase behavior studies by showing the domain relevance of an apparently powerful model, along with addition of some newer variables that may enrich the existing model.

The global demand for organic foods has inspired the academicians and practicing professionals to explore consumer purchase behavior in this sector. The multiple promises that organic foods hold for the future – like sustainable food production, food safety, food security, nutrition and reduction of green-house gases – all might have influenced the recent rise of behavioral research in the organic food sector. Interestingly, Bangladesh has been a producer of organic foods since the early ‘80s; however, only a handful of studies could be traced that actually studied consumer behavior in this sector. The current paper explored the important roles that organic foods might play in Bangladesh, synthesized findings of past studies under Bangladesh context, and justified probable areas that might be investigated in future. Therefore, plausible gaps were explored in the existing literature pertaining to Bangladesh context and a tentative research agenda for future researchers was proposed. JEL classification: M30, M31, M39

The global demand for organic foods has inspired the academicians and practicing professionals to explore consumer purchase behavior in this sector. The multiple promises that organic foods hold for the future – like sustainable food production, food safety, food security, nutrition and reduction of green-house gases – all might have influenced the recent rise of behavioral research in the organic food sector. Interestingly, Bangladesh has been a producer of organic foods since the early ‘80s; however, only a handful of studies could be traced that actually studied consumer behavior in this sector. The current paper explored the important roles that organic foods might play in Bangladesh, synthesized findings of past studies under Bangladesh context, and justified probable areas that might be investigated in future. Therefore, plausible gaps were explored in the existing literature pertaining to Bangladesh context and a tentative research agenda for future researchers was proposed.