Are stricter investment rules contagious? Host country competition for foreign direct investment through international agreements

We argue that competitive diffusion is a driver of the trend toward international investment agreements with stricter investment rules, namely defensive moves of developing countries concerned about foreign direct investment (FDI) diversion in favor of competing host countries. Accounting for spatial dependence in the formation of bilateral investment treaties and preferential trade agreements that contain investment provisions, we find that the increase in agreements with stricter provisions on investor-to-state dispute settlement and pre-establishment national treatment is a contagious process. Specifically, a developing country is more likely to sign an agreement with weak investment provisions if other developing countries that compete for FDI from the same developed country have previously signed agreements with similarly weak provisions. Conversely, contagion in agreements with strong provisions exclusively derives from agreements with strong provisions that other FDI-competing developing countries have previously signed with a specific developed source country of FDI.     

Spillovers from agglomerations and inward FDI: a multilevel analysis on sub-Saharan African firms

This paper adopts multilevel analysis to study the agglomeration-performance nexus for domestic firms in sub-Saharan Africa. We show that contextual factors can explain up to 30 % of the variance in firms’ productivity, more than half of which depends on the geographic location. Our results show also that African firms’ productivity is positively correlated to the size of the agglomeration when they locate in larger cities specialized in different sectors, while the relation turns negative when they face direct competition from firms in the same industry. These effects are similar in the services and the manufacturing industries, even if in the latter positive spillovers are found to be conditional to the presence of backward and forward linkages with nearby firms. Finally, we are able to show that these effects are also confirmed when domestic firms locate close to foreign multinationals, especially those coming from the South.     

The unrealized value of incentivized eWOM recommendations

While companies have recognized the perceived economic benefits of encouraging and managing electronic word-of-mouth (eWOM), the benefits may be understated. Companies take into account the influence on the audience. But, what about any effects on the person who communicates the eWOM? We explore the impact that incentivized eWOM has on communicator attitude. Using the saying is believing effect as our theoretical foundation, we suggest that providing eWOM induces a change in the communicator’s attitude. By generating and providing a biased recommendation, the communicator will believe the biased recommendation. Furthermore, the communicator is likely to remember the biased recommendation and will use it to update their attitude. We examine how valence of recommendations (negative versus positive) and the number of opportunities to recommend affect the change in attitude. Our findings indicate that providing recommendations changes communicator’s attitude. Implications of the results are discussed.     

Altering the past to influence the future: the effect of mental unpacking on past evaluations and future preferences

Consumers use affective evaluations of past hedonic experiences in their future decision-making. However, past evaluations such as how enjoyable the experience was may be hard to retrieve, and consumers tend to recall what they did (i.e. the constituent activities of the prior experience) in order to reconstruct them. It is proposed here that recalling these constituent activities in a packed versus unpacked fashion will distort both the reconstruction process and its outcome. Results from two experiments show that mental unpacking interacted with experience enjoyment to alter past evaluations in two ways: if the enjoyment of the experience was high, unpacked recalls increased remembered enjoyment, but unpacking decreased remembered enjoyment if the experience enjoyment was low. Finally, mediation analysis indicated that the unpacking by enjoyment interaction distorted future preferences through the mediating role of remembered enjoyment.     

Response style corrected market segmentation for ordinal data

Survey data collected for market segmentation studies is typically ordinal in nature. As such, it is susceptible to response styles. Ignoring response styles can lead to market segments which do not differ in beliefs, but merely in how segment members use survey answer options and which possibly occur in addition to the belief segments. We propose a finite mixture model which simultaneously segments and corrects for response styles, permits heterogeneity in both beliefs and response styles, accommodates a range of different response styles, does not impose a certain relationship between the response style and belief segments, and is suitable for ordinal data. The performance of the model is tested using both artificial and empirical survey data.     

A Sample Survey Based Linguistic MADM Method with Prospect Theory for Online Shopping Problems

In MADM problems, the attributes are often rated in linguistic variables, some researchers transform them into numerical values through some formulas. However, it might be inconsistent with real human thinking in some extent. In order to deal with such problems, a sample survey based MADM method with prospect theory is proposed. Firstly, through sampling survey, we collect the data in single point format corresponding to the words, and establish the codebook by mapping words into fuzzy sets, after that fuzzy operation rules are suitable for them. Secondly, based on the reference points, the gain and/or loss matrix is obtained, in accordance with the value function, the prospect value matrix is constructed. Finally, if the attributes are independent, the weighted prospect value of each alternative is computed, if the attributes are dependent, the Choquet integral based prospect value of each alternative is computed. The alternatives are ranked in descending order respect to the defuzzified values. The first alternative is chosen as the best decision result. The feasibility of the proposed method is illustrated through an application in online shopping problem from real life.     

A Sealed-Bid Two-Attribute Yardstick Auction Without Prior Scoring

We analyze a two-attribute single item procurement auction that uses yardstick competition to settle prices. The auction simplifies the procurement process by reducing the principal’s articulation of preferences to simply choosing the most preferred offer as if it was a market with posted prices. This is done simply by replacing the submitted sealed bids by yardstick bids, computed by a linear weighting of the other participants’ bids. We show that there is only one type of Nash equilibria where some agents may win the auction by submitting a zero price-bid. Using a simulation study we demonstrate that following this type of equilibrium behavior often leads to winner’s curse. The simulations show that in auctions with more than 12 participants the chance of facing winner’s curse is around 95 %. Truthful reporting, on the other hand, does not constitute a Nash equilibrium but it is ex post individually rational. Using a simulation study we demonstrate that truthful bidding may indeed represent some kind of focal point.     

Multiple Attribute Group Decision Making Method Based on Utility Theory Under Interval-Valued Intuitionistic Fuzzy Environment

In this paper, a kind of multiple attribute group decision making problem is studied, where there is no original information about the weights of importance of the attributes and the decision makers (DMs), and the attribute values are given in the form of interval-valued intuitionistic fuzzy numbers (IVIFNs). To solve this problem, a new method is proposed based on utility theory. In the proposed method, the weights of importance of the DMs and the attributes are all determined by using the intuitionistic indexes of related IVIFNs. And then, the alternatives are compared by using their composite interval indexes which are generated based on utility theory. Finally, two numerical examples are proposed to demonstrate the effectiveness of the proposed method.