Estimating colonization and invasion risk maps for Linepithema humile, in Japan

Sachiko Moriguchi,Maki N. Inoue,Toshio Kishimoto,Takeshi Kameyama,Fuminori Ito,Koichi Goka 한국응용곤충학회 2015 Journal of Asia-Pacific Entomology Vol.18 No.2

Our goal was to create colonization and invasion risk maps for the Argentine ant, Linepithema humile, based on occurrence data in Japan, by combining colonization- and invasion-related variables and spatial filters that alleviate spatial autocorrelation. With these data, we will be better able to implement surveillance and control programs. Species distribution models were generated, using the maximum entropy approach, from presence-only data collected from 12 locations. Colonization-related variables (e.g., temperature, precipitation) and invasionrelated variables (e.g., urban area, distance from ports) were used as environmental variables and spatial filters that alleviate spatial autocorrelation were included at the same time. The high invasion risk area was restricted to coastal areas, whereas high colonization risk applied to a broader area. Elevation, minimum temperature, and flowaccumulationwere themost effective variables for predicting colonization risk,whereas urban area, elevation, and the port distance index were the most effective variables for predicting invasion risk. The invasion risk map had a higher level of accuracy than the colonization risk map. We identified those areas with a high risk of invasion in the early stages and strong propagule pressure with a model using both invasion-related variables and colonization-related variables to accurately estimate the initial invasion distributions. We found that high colonization risk areas were concentrated in the Okinawa and Ogasawara Islands; ecosystems with highly endemic ant species that are likely to have a high sensitivity to L. humile introduction. Our data will aid in strengthening both domestic and international quarantine systems to prevent such introductions.

PREFERENCE REVERSAL: PERSPECTIVE WITH GENERALIZED CONSTRUAL LEVEL THEORY

Makoto Abe,Takeshi Moriguchi,Akira Yashima 글로벌지식마케팅경영학회 2014 Global Marketing Conference Vol.2014 No.7

THE EFFECTS OF BACKGROUND COLORS ON CONSUMERS’ HAPTIC EVALUATIONS AND PRODUCT PREFERENCES

Mayuko Nishii,Takeshi Moriguchi 글로벌지식마케팅경영학회 2018 Global Marketing Conference Vol.2018 No.07

Introduction Can the background colors of products on an online shopping site affect consumers’ haptic perceptions and evaluations? When shopping online, consumers cannot obtain a product’s haptic information by touching it directly and usually rely on visual information such as the product’s image and description. Nevertheless, consumers sometimes use haptic information to judge whether to purchase a product and marketers aim to engage consumers’ haptic preferences. Currently, researchers in the field of sensory-marketing research are interested in the interaction of multiple senses. Although previous research has demonstrated the interaction between visuals and haptic perception (e.g. Xu & Labroo, 2014), there is still considerable opportunity for further research on consumers’ haptic perception of products they cannot touch directly, such as through online shopping. In this study, we focus on how the background colors of product images affect consumer’s haptic perceptions and evaluations of the products. Theoretical Background Krishna & Morrin (2008) indicate that the interaction among plural senses is caused by perceptual transfer. When an individual perceives a sense, it is associated with previous experiences with other senses, which may cause perceptual transfer (Piqueras-Fiszman & Spence, 2015). For instance, Harrar, Piqueras-Fiszman, & Spence (2011) found that the color of the bowl affected consumers’ perceptions of taste when eating popcorn. In this study, when consumers ate popcorn in a red bowl, they associated the color with mature fruit and evaluated the popcorn as sweeter. Consumers who ate popcorn from a blue bowl evaluated the popcorn saltier because they associated the color with the sea. Based on these results, we predict that the background colors of products will affect consumers’ haptic perceptions and product preferences. Babin, Hardesty, & Suter (2013) show that red and orange induce the perception of warmth. Thus, an orange background color causes consumers to perceive products as warmer. Zwebner, Lee, & Goldenberg (2014) demonstrate the influence of physical warmth on consumers’ behavior and they focus on the anthropomorphic characteristics of products. They mention that consumers tend to perceive inanimate products as anthropomorphized so when they percept warmth to products, they feel emotional warmth and it induces their intention to purchase them. From their findings, we predict that the effect of warm background colors is restricted to anthropomorphized products. Additionally, warmth is strongly associated with softness (Tai, Zheng, & Narayanan, 2011). Hence, we also predict that warm background color might affect consumers’ perception of softness of the products. H1: The color orange is perceived as warmer than white (control). H2a:When the background color is orange (vs. white), anthropomorphized products are evaluated with more familiarity. H2b: When the background color is orange (vs. white), anthropomorphized products are evaluated more favorably. H2c: When the background color is orange (vs. white), there is greater intention to purchase anthropomorphized products. H3a:When the background color is orange (vs. white), anthropomorphized products are perceived as warmer. H3b: When the background color is orange (vs. white), anthropomorphized products are perceived as softer. H4: The perception of the warmth of products affects the perception of softness of products. H5: The influence of “H2a” mediates the perception of warmth of products. Methods We conducted two studies to research the hypotheses above. Warm and soft inanimate products are anthropomorphized (Horowits & Bekoff, 2007), and we researched this hypothesis by comparing warm and soft products with cold and hard products in study1. For the purpose of identifying warm and soft products (anthropomorphized products) as well as cold and hard products (non-anthropomorphized products), we conducted a pretest. For the study1 pretest, we chose a teddy bear, futon, and scarf as anthropomorphized products and a garbage can, ice pop, and glass as non-anthropomorphized products. In study2, we used hand watches, which are considered cold and hard. However, a watch indicating 10:10 is recognized as a smiling human (Labroo, Dhar, & Schwarz, 2008). Hence, we compared watches set to 10:10 and 12:00. For study1 and study2, we conduct a 2 (orange vs. white) × 2 (anthropomorphized products vs. non-anthropomorphized products) between-subject test on the participants. Participants answered a questionnaire on a website. They evaluated the color and products on a 7-point Likert scale. For both study1 and study2, we recruited participants via the Internet. They received a point worth 3 JPY (approximately 0.03 USD) for participating in the study. Results Study1 We used a t-test to compare the averages of warmth to the background colors. It showed a significant difference between Group orange and white (t=32.329, df=916.938, p< .001). For H2a to H3b, we conducted the two-way ANOVA of 2 (background color: orange, white)×2(anthropomorphic characteristics of products: anthropomorphized, non-anthropomorphized). The results showed no interactions. Hence, we used t-tests (See Table1). The results supported H2a to H3b. In addition, we conducted a path analysis on the influence of the perception of products’ warmth toward the perception of products’ softness. The influence was significantly positive (β=0.776, p<.001). In comparison, the path from the background colors to the perception of products’ softness was not significant (p= .142). Hence, H4 was supported. Study2 We used a t-test to compare the averages of warmth to the background colors. It showed a significantly positive difference between Groups orange and white (t=22.206, df=323.539, p< .001). Therefore, H1 was supported again. Aside from the above analysis, the results supported H2a to H3b (See Table2). Furthermore, to test H4, we conducted a path analysis on the influence of the perception of products’ warmth towards the perception of products’ softness. Results showed that the influence was significantly different (β=0.823, p<.001). In comparison, the path from the background colors to the perception of products’ softness was not significant (p= .142). Thus, H4 was supported again. Moreover, to test H5, we ran the mediation model by using the PROCESS macro (Model 4, Hayes, 2013). For anthropomorphized products, bootstrapping tests with 2,000 bootstrapped samples revealed that the effect of background colors on familiarity was mediated by the perception of the warmth of the products(a×b=0.09, 95%CI=0.058 to 0.478 excluded 0). The direct effect c’ (0.15) is significant (p= .045), although c (0.06) is not significant (p= .385). On the other hand, for non-anthropomorphized products, the regression analysis revealed that the direct effect c’ (-0.03) is not significant (p=0.711). Hence, H5 was supported. Discussion and Conclusion We demonstrated that warm background colors affect the perception of products’ warmth and softness and increase consumers’ intention to purchase products. We also found that the effect of warm background colors is restricted to anthropomorphized products. This research showed that the effect of warm background colors on the familiarity of anthropomorphized products was mediated by the perception of the products’ warmth. Based on these results, we also demonstrated that the perception of products’ warmth influenced the perception of their softness. Our findings might help to apply Zwebner et al. (2014)’s findings regarding online shopping sites where consumers cannot touch products directly and marketers cannot control consumers’ room temperature.

THE EFFECT OF CONSUMERS’ PERCEIVED RISK AND PRODUCTS’ SEASONALITY ON CONSUMERS’ PRICE THRESHOLD AND PRICE ACCEPTABILITY

Juhee Song,Takeshi Moriguchi 글로벌지식마케팅경영학회 2020 Global Marketing Conference Vol.2020 No.11

PREFERENCE REVERSAL: PERSPECTIVE WITH GENERALIZED CONSTRUAL LEVEL THEORY

Makoto Abe,Takeshi Moriguchi,Akira Yashima 글로벌지식마케팅경영학회 2014 Global Marketing Conference Vol.2014 No.7

Preference Reversal and Discounting Everyone has experienced “procrastination”, for example, in the context of diet, quitting smoking, doing homework, etc. Despite a desirable goal in the long term perspective, people often divert their course for a minor gain of immediate future. “Marriage blue” is a typical example of such preference reversal along a temporal dimension. Wedding seems so desirable when it is planned. But as the wedding date approaches, one starts to focus minor issues in reality and becomes hesitant to get married. Such preference reversal along a time dimension has been considered as irrational behavior, and is often referred to as present bias or time inconsistency. Fields of Behavioral Economics and Behavioral Decision Theory try to explain the phenomenon using “discounting” along a time axis. Previous research has shown three well-known properties of “discounting over time”. (1) Invalidity of exponential discounting A discount rate is not constant, but decreases rapidly at first and later more gradually. (2) Amount effect A discount rate is larger for a small amount of money than for a large amount. (3) Sign effect A discount rate is larger for gain than for loss. The first property is used to explain “procrastination”. Exponential discounting, which assumes a constant discount rate over time, cannot explain the phenomenon because two utility curves, one for a large gain in further future and the other for a small gain in near future, never cross each other over time. On the other hand, hyperbolic discounting, with a declining discount rate over time, permits the crossing, thereby explaining “procrastination”. How about “marriage blue”? Unfortunately, neither exponential nor hyperbolic discounting can explain this phenomenon. By interpreting the initial desirability as gain and the minor issues as loss, the sign effect cannot explain the reversal, either. Perhaps more complicated discounting models are necessary. However, there exist many criticisms and complications for introducing complex discounting models. Construal level theory (CLT) with a minor twist can explain “marriage blue” in a simple manner, as will be shown. What is Construal Level Theory (CLT) ? CLT, which has been receiving increasing attention in Social Psychology and Consumer Behavior Studies, posits that people’s evaluation toward items and incidents differs by the psychological distance between oneself and the object. When the distance is close, people mentally construe the object in terms of low-level, detailed, and contextualized features. In contrast, when the distance is far, they construe the same object in terms of high-level, abstract, and stable characteristics. Such difference in mental construal leads to different evaluation and behavior, and thus preference reversal. Fiedler (2007) discusses different types of psychological distances, including temporal, spatial, social, certainty-related, informational, experiential, affective, and perspective distances. Using these general notions of “distance”, CLT becomes a powerful tool to explain various preference changes. Along social distance, choice of souvenir can differ whether it is for a work supervisor or for a family member. Along spatial distance, excitement toward bungee jump in the birth country of New Zealand when leaving airport in Tokyo can change to uneasiness when arriving at Oakland airport. Along experiential distance, an advanced medical treatment, which seems attractive from an outsider’s viewpoint, can change to anxiety for risk and side effect when you are the one to receive. Because “discounting” is used to explain preference reversal with varying time distance, it is rather natural to introduce this idea into CLT with appropriate adaptation. First, discounting applies not only to time distance but also to psychological distance in general. Then, the second property, “the difference in discount rates between low versus high amount of money” shall be translated to “the difference in discount rates between low versus high construal levels”. This conceptualization, which I refer to as GCLT, can explain “marriage blue” in a straightforward manner, when the high and low construal levels of wedding are interpreted, respectively, as the initial motive and the detail issues. Generalized Construal Level Theory (GCLT) Let us summarize the three propositions of the generalized construal level (GCLT). (1) [Generalization of distance] “Discounting” applies to psychological distances including time. (2) [Amount effect] Discount rate varies depending on the construal level: the higher the construal level, the smaller the discount rate. (3) [Sign effect] Discount rate is smaller for loss than for gain. The relationship between GCLT and CLT are as follows. 1) GCLT models the consequences of CLT using the idea of discounting. It does not mean GCLT can explain what CLT cannot. 2) GCLT introduces the notion of gain and loss into CLT. 3) While CLT usually discretizes the construal level (high vs. low), GCLT regards the construal level as continuous by nature. By modeling the input and output of CLT, GCLT bypasses the complicated and arguably controversial inner mechanism/process of human perception. GCLT can predict preference and behavior shift more easily as distance varies. There is no need to specify the functional form of discounting, such as exponential or hyperbolic. When the distance is limited to time and the construal level is limited to monetary amount, GCLT becomes consistent with the ordinary “discounting” of BDT, as it should. Empirical Studies The survey asks participants to choose one of two lotteries with the same expected return: one with a higher prize amount and the other with a higher winning probability. The reason for selecting a lottery is that attributes resulting in high and low construal levels are clearly defined and same for everyone. Previous research found that, in lottery choices, prize amount and winning probability lead to high and low construal levels, respectively. In other context, it is often ambiguous what attributes result in high and low construals. Moreover, such attributes can differ by people. We investigate how lottery choice changes when the psychological distance with the subject varies. We manipulate time distance through a lottery whose outcome is announced either tomorrow (short) or one month later (longer). We manipulate social distance through a lottery which is purchased either for yourself (short) or for a prize in a party at work (long). Proposition 1 The survey asks a respondent to choose either Lottery A or B, both of which have the same expected winning outcome of 1,000 yen. A half of the sample are asked to consider two cases of time distance (tomorrow and one month later), and the other half are asked to consider two cases of social distance (for yourself and for a prize in a party at work). The design is a within-sample study. The paired McNemar test is conducted to statistically check whether the proportion of respondents valuing prize amount (high construal) over winning probability (low construal) varies by distance. The result confirms the prediction by CLT, in which, for both time and social distances, respondents’ construal levels are higher when the distance is far and vice versa. Proposition 2 A respondent is asked to choose either Lottery A or B when Lottery R, an originally intended for purchase, is unavailable. Both Lotteries A and B have the same gain or loss in expected outcome of 1,000 yen. The difference is whether the gain or loss is due to the change in the prize amount or the winning probability. A half of the sample are asked to respond to two cases of time distance (tomorrow and one month later), and the other half are asked to respond to two cases of social distance (for yourself and for a prize in a party at work). Again, the design is a within-sample study. The paired McNemar test is conducted to statistically check whether the proportion of respondents valuing prize amount (high construal) over winning probability (low construal) varies by distance. The result shows that, for social distance, the respondents’ construal levels are higher when the distance is far and vice versa, under both gain and loss. It implies higher discount rate for a low construal level. For time distance manipulation, however, changing distance did not result in the construal level change under either gain or loss. Proposition 3 A respondent is asked to choose either Lottery A or B with the same expected winning outcome when the distance is far. The survey then asks whether she would switch from her initial choice when the distance becomes close. Switch from Lottery A to B trades off the loss in prize amount over the gain in winning probability. Likewise, switch from B to A trades off the gain in prize amount over the loss in winning probability. According to GCLT, switch is likely to occur from A to B but not in the other direction. This is because discounting of a high construal level (prize amount) in loss is small whereas discounting of a low construal level (winning probability) in gain is large, the net of the loss and the gain is likely to result in sign reversal as the distance becomes close. The chi-square test is conducted to statistically check whether the proportions of respondents switching from A and from B are the same. The result shows that, for both time and social distances, there are more switches from A to B than from B to A as the distance becomes close, thereby supporting Proposition 3. Conclusions Using two samples, students and web users, the survey study largely supports the three propositions of GCLT. The only exception is the amount effect in time distance. Our study could not confirm it using neither students nor web users.

THE EFFECT OF MOVING DIRECTION ON PRODUCT PREFERENCE

I-Shan Hsieh,Ryoka Asakura,Yuri Komon,Shota Narukawa,Ryoichiro Mitsuda,Mayuko Nishii,Takeshi Moriguchi 글로벌지식마케팅경영학회 2018 Global Marketing Conference Vol.2018 No.07

Introduction The concept of “processing fluency” has been widely discussed in various areas, including marketing and consumer behavior (Janiszewski and Meyvis, 2001; Labroo et al., 2008; Herrmann et al., 2013; Shen and Rao, 2016). Processing fluency is defined as the ease with which people process information, and it has been found that experiencing fluency while processing information has a positive effect on decision making. Many researchers have shown that fluency elicits positive evaluation. For example, the mere-exposure effect has been explained by processing fluency; repeated exposure to a stimulus increases processing fluency and the fluency, in turn, increases positive affect (Arkes, 2013; Janiszewski and Meyvis, 2001). Many factors have been examined in fluency studies. Among them, the most common method to affect fluency is font manipulation (e.g., Alter et al., 2007; Alter and Oppenheimer, 2008). In these studies, researchers examined processing fluency of objects with clear fonts or unclear fonts and found the former enhanced processing fluency and thus caused positive evaluation for the objects. There are many other factors related to visual perceptual fluency, such as contrast of letters and background, exposure time, and so on. Processing fluency can be influenced by eye movement. For example, Shen and Rao (2016) focused on the relation between fluency of eye movements and product evaluation. They found that repetition of an eye movement could enhance perceived fluency and that this perceived fluency could increase product evaluation. In their second experiment, they manipulated participants’ eye movement by moving a ball on the computer screen and found that the consistency between the direction of eye movement and the direction of products (pen and sports shoe) could enhance processing fluency and product evaluation. Similar to the study of Shen and Rao, we focus on the relation between the direction of products and processing fluency. Shen and Rao focused on eye movement, whereas our study concentrated on human body movement—namely, walking and riding. There are many advertisements in stores, trains, buses and on the roads. Consumers often see these advertisements while walking or riding. In these cases, they move to certain directions, and sometimes products in advertisements convey direction (e.g., automobiles, shoes, pens, and so on). At the time of exposure, consistency between two directions (consumer’s movement and product) may influence processing fluency and product evaluation. In a walking condition, the direction of physical body movement of the participants can be related to their eye movements. However, in a riding condition, the moving direction of a vehicle the participant rides does not always coincide with the direction of participant’s eye movement. We can therefore assume that if consistency of the two directions affects the product evaluation positively not only in a walking condition but in a riding condition, it is possible to verify the existence of the effects of human body movement. Based on the above considerations, we conducted two experiments. Empirical Studies In two experiments, all participants were undergraduate students at a major university in Tokyo. They were recruited at a university campus or via social network services. The experiments were conducted in two conditions: participants looking at the advertisement while walking or riding on the bus. In prior research focused on eye movement (Shen and Rao, 2016), the researchers examined the relation between eye movement and product location (left side or right side on the advertisements) as well as product direction (directed toward the left or toward the right). They showed that the participants preferred the product directed toward the right (pen or sports shoe) or located on the right side (cupcake) when their eyes moved from left to right. Conversely, the participants liked the product directed toward the left or located on the left better when their eyes moved from right to left. Based on their study, we also chose two types of products, sports shoe and bottled water. Sports shoe has a horizontal direction, so we can place the product in the advertisement with a particular direction (toward the left or toward the right). On the other hand, bottled water does not have horizontal direction, thus we use the product with a particular location (placed on the left side or right side in the advertisements). We hypothesize that the participants will experience processing fluency and express a greater preference towards the products in the advertisement when its direction or location matches the moving direction of the participants. Experiment 1 One-hundred-and-twenty students participated in a 2 × 2 between-subjects factorial design. Participants were randomly assigned into four groups: 2 moving direction × 2 product layouts. The experiment was set up in a classroom where the advertisements were displayed on the walls. On the wall to the left side of the classroom, the advertisement for sports shoe was displayed with the direction either toward the left or the right. On the wall to the right, the advertisement for bottled water was displayed with the product location either on the left or right side. On the front wall of the classroom, an advertisement for hamburger which had neither particular direction nor location was displayed as a dummy stimulus. The participants were asked to walk around the classroom either clockwise or counter-clockwise. They walked by the wall without stopping while looking at an advertisement and then rated preference and processing fluency regarding the product shown in the advertisement immediately afterwards one by one. For the participants who walked around the classroom clockwise, the products directed toward the right (or located on the right side) might appear more natural and thus enhance their processing fluency. On the other hand, the participants who walked counter-clockwise felt fluency regarding the products directed toward the left (or located on the left side). The results supported our hypotheses. There were significant differences between matched groups and unmatched groups in both preference and processing fluency. Participants who walked around the classroom clockwise showed a higher preference and fluency regarding sports shoe directed toward the right and bottled water located on the right side in the advertisements. Similarly, participants who walked around the classroom counter-clockwise presented a higher preference and fluency regarding sports shoe directed toward the left and bottled water located on the left side. Experiment 2 In experiment 2, we used school buses running between campuses as the vehicle in which the participants looked at the advertisements. We set up two situations of placing the advertisements for considering the effect of the moving scenery outside the bus window on the perception of the participants. We placed one near the ceiling, where participants can barely see the scenery outside the window, and the other on the window, where the participants can easily see scenery moving right behind the advertisement. The participants either stood or sat on the buses and then rated preference and processing fluency regarding the products on the advertisements right after getting off the bus. One-hundred-and-two students participated in a 2 × 2 between-subjects factorial design. The participants were randomly assigned into matched-above, unmatched-above, matched-window, and unmatched-window groups. The matched condition meant that the moving direction and product layouts were consistent. When the moving direction of the bus and the product layout (direction of sports shoe and location of bottled water) were consistent, we defined matched condition. Otherwise, we defined unmatched condition. The results supported our hypotheses. For the advertisements placed near the ceiling, there were significant differences between matched and unmatched groups in both preference and processing fluency for both sports shoe and bottled water. On the other hand, for the advertisements placed on the window, there were no significant differences between matched and unmatched groups. When the advertisements were placed on the window, the direction of the moving scenery outside the bus window was opposite to the direction of the bus. This might have cancelled out the effects of moving direction. Discussion and Conclusion The empirical studies showed that for the condition of participants walking, the orientation and the location of the product pointing in the same direction as the moving direction of the participants resulted in higher processing fluency, and led to higher product preference. Meanwhile, for the condition of participants moving towards a certain direction by passive means, such as taking a bus, product preference and processing fluency increase when the advertisement is placed up near to the ceiling, and the orientation or the location of the product match the moving direction of the participants. At the same time, there is no significant difference in product preference or processing fluency when the advertisement is placed on the window. In closing, our research has provided an initial look at how consistency between two directions (consumer’s movement and product) can have significant effects on consumers’ processing fluency and product evaluation. Consumers often look at the advertisements while walking or riding and advertisers can know the main direction of consumers’ movement. In these cases, they can determine the direction or the location of the products in the advertisements considering the consistency with the moving direction of consumers. Recently, digital signage in trains and buses has become popular and advertisers can easily adjust the direction or the location of the products in the advertisements on it. Therefore, the knowledge extracted from our research may be readily available for advertisers.