Open Access

Sales promotion are commonly used tool by marketers to manipulate consumer toward a certain offer or product. Attractiveness of a promotion can increase the demand of the promoted product. Monetary and non-monetary are considers the two main types of sales promotions. Monetary sales promotion, also known as price promotion, will provide immediate price discount upon purchase, for example 50% discount. Non-monetary sales promotions or premium promotion, on the other hand, usually grant consumer an extra free product or additional service for free. Previous studies also demonstrated that different sales promotion affect consumer behavior differently. Consumers’ value perception can be influenced by several factors. For instance, marketers use specific “phrase” such as “value pack” to influence consumer price perception. Rationally, consumers’ value perception should remain unchanged regardless of the phrases use to describe the promotion with same discount value. In this study, we examine the impact two sales promotion those are “50% discount” and “buy one get one free” on value perception of Thais consumers. These two deals have equal economic value but perceived differently by consumer. We aim to answer the question “does two different deals with the same value impact value perception of the same product differently?” In order to obtain logical answer, two set of questionnaires were send out to observe the maximum price which consumer willing to pay for “instant noodles” and “soy protein powder”. Unfortunately, the result from our survey were not significant enough for us to derive a concrete conclusion. We also discuss about potential cause of the unexpected result and interpret our result for better understanding. Even without a significant finding, this paper address that different sales promotions impact consumer in various ways supported by other literatures and also self-assumption.

Purpose – To empirically examine the impact of a set of influencing factors on B-to-B sales call success from a buyer, salesperson and neuroscientific perspective Design/methodology/approach – A literature review was conducted to find potential non-economic influencing factors and a set of hypotheses was generated. Subsequently, findings were verified through an expert interview. Then two surveys examining the buyer and sales perspective were carried out and hypotheses were tested. Lastly, results were aimed to be explained from a neuroscientific perspective. Findings – The results show that trust, emotion and empathy are positively correlated to sales call success. However, communication, listening skills, empathy, appearance and personality variables were on average still perceived as somewhat important for sales call success by both survey groups. Neuroscientific literature could provide insights into the effects of trust, emotion, appearance and extroversion on sales call outcome. Research limitations – The sample size permits only a general analysis and conclusions. Buyers participating in the survey tended to evaluate sales calls as rather successful, leading to an underrepresentation of “unsuccessful” sales calls in the data set. Neuroscientific literature provided insights but could not fully explain the suggested model. Practical implications – Emotional and non-economic factors including trust, positive emotion and empathy should be part of a successful sales methodology so that the effects of these factors are considered to improve the outcome of sales calls

Many articles claim that the structure of a self-organizing team achieves the highest level of agility. Therefore, this paper examines the assumption about the agility of self-organizing teams. This is done through a qualitative secondary research which answers the following questions: 1. What are the required attributes for a workforce to be agile? 2. What are the characteristics and attributes of self-organizing teams? 3. Do self-organizing teams fulfill the requirements of an agile workforce? If yes, how? Through literature reviews the requirements that make a workforce agile and the characteristics of self-organizing teams are observed. It is considered that if the characteristics (which makes up the structure) of self-organizing teams fulfill the requirements of an agile workforce, this claim is then believed to be valid. The results of such an examination shows that an agile workforce needs to be empowered, capable and competent, adaptive and flexible, team oriented, cooperative and collaborative and continuously given feedback and trained. Similarly, the observed characteristics of self-organizing teams describe them to be autonomous, communicative and collaborative, redundant and reconfigurable, cross-functional, team oriented and capable of learning. Through an analysis of the findings, it is confirmed that self-organizing teams fulfill the basic requirements of an agile workforce. Therefore, self-organizing teams are considered to be agile. Finally, companies that seek agility are advised to adopt the structure of self-organizing teams.

The real-world possibilities for blockchain applications are endless, yet few real-world use cases exist in early 2018 beyond cryptocurrency. Among the many newly initiated and emerging proposals for applications of this unique technology, the area of vehicle emissions provides an opportunity to bring the advantages of cryptography and decentralized databases to the collection and storage of scientific research data. The reporting of vehicle emissions has been a publicly acknowledged area of deceit and scandal, while the cornerstones of blockchain are transparency and consensus. There is, perhaps, a way for this newly expanding technology to provide a disruption to the automotive industry by efficiently and reliably reporting vehicle emissions. This paper seeks to analyze: the capabilities of an emerging technology when applied to an existing older technology and its utilized environment as well as propose a system for efficiently and reliably collecting and reporting internal combustion engine based vehicle emissions data using blockchain; also, finally, theorize the impact of such a system on the automotive industry. By combining multiple technologies which already exist in practice, as well as some which are expected to be massively implemented in the near future, it is theoretically possible to establish a blockchain based system for not only recording emissions from every participating vehicle, but also electronically executing a check against local emissions restrictions via smart contracts defined by geo-locational range and GPS referencing. The data can be processed and stored in a way that protects the identity and location history of the driver by assigning responsibility of compliance to the identity of the vehicle. The network can be protected from malicious actors by way of an emissions application specific protocol which involves unique GPS data. While the short run effects of such a system may be met with pushback from the automotive industry because of increased regulation and impact on sales of internal combustion engine vehicle inventory, the long run effects parallel and may even supplement the future effects of the global trends which make the system possible.

The main goal of the study is to analyze students’ buying intention towards e-learning program by developing a structural model of e-learning acceptance by the students and analyzing perceived usefulness, perceived ease of use, attitudes, subjective norms, motivations and buying intentions according to the developed model.