Erikoistilanteiden huomiointi päivittäistavarakaupan myymälätäydennyksessä

Päivittäistavarakauppa toimialana vaatii hektisyytensä, volyymien suurten vaihtelujen ja tuotteiden ominaispiirteiden takia nopeaa reagointikykyä toimitusketjun sopeuttamisessa. Tällöin pienikin tarkkuuden parantaminen myyntiennusteessa voi aiheuttaa merkittäviä positiivisia kerrannaisvaikutuksia koko ketjussa. Tässä diplomityössä tutkittiin kahta teemaa: Säätilan ja vähittäismyynnin välistä korrelaatiota, sekä tuotteen kampanjassa olon aiheuttamaa kannibalisointivaikutusta muiden tuotteiden menekkiin. Tutkimus toteutettiin työn tilaajan kannalta merkittäväksi mielletyillä tavararyhmillä historialliseen myynti –, sää- ja kampanjadataan perustuen. Tutkimuksen tuloksena todettiin lämpötilan olevan yksittäinen merkittävin tuotteiden menekkiin vaikuttava sääparametri. Kampanjan aiheuttaman myynnin kannibalisointivaikutuksen havaittiin olevan merkittävintä saman tuotesegmentin sisällä, erityisesti lyhyissä kampanjoissa. Työssä luotiin toimintamallit molempiin tutkittuihin teemoihin ennusteperusteisen tarvesuunnittelujärjestelmän ennustetarkkuuden parantamisen työkaluiksi.

Forecasting with social media – Using Facebook likes to predict the results of the 2015 Finnish Parliamentary elections

Already one-third of the human population uses social media on a daily basis. The biggest social networking site Facebook has over billion monthly users. As a result, social media services are now recording unprecedented amount of data on human behavior. The phenomenon has certainly caught the attention of scholars, businesses and governments alike. Organizations around the globe are trying to explore new ways to benefit from the massive databases. One emerging field of research is the use of social media in forecasting. The goal is to use data gathered from online services to predict offline phenomena. Predicting the results of elections is a prominent example of forecasting with social media, but regardless of the numerous attempts, no reliable technique has been established. The objective of the research is to analyze how accurately the results of parliament elections can be forecasted using social media. The research examines whether Facebook “likes” can be effectively used for predicting the outcome of the Finnish parliament elections that took place in April 2015. First a tool for gathering data from Facebook was created. Then the data was used to create an electoral forecast. Finally, the forecast was compared with the official results of the elections. The data used in the research was gathered from the Facebook walls of all the candidates that were running for the parliament elections and had a valid Facebook page. The final sample represents 1131 candidates and over 750000 Facebook “likes”. The results indicate that creating a forecast solely based on Facebook “likes” is not accurate. The forecast model predicted very dramatic changes to the Finnish political landscape while the official results of the elections were rather moderate. However, a clear statistical relationship between “likes” and votes was discovered. In conclusion, it is apparent that citizens and other key actors of the society are using social media in an increasing rate. However, the volume of the data does not directly increase the quality of the forecast. In addition, the study faced several other limitations that should be addressed in future research. Nonetheless, discovering the positive correlation between “likes” and votes is valuable information that can be used in future studies. Finally, it is evident that Facebook “likes” are not accurate enough and a meaningful forecast would require additional parameters.

Value-based selling of the column connection solution as part of project sales

The objective of this study was to find out how third party influencers can facilitate value-based selling in a network and how suppliers should aim to impact on these third party influencers to facilitate value-based selling. The study considers construction industry, selling the column connection solution and third party influencers. Third party influencers examined in this study were structural designers. The study also aims to find out structural designers’ value drivers and the differences between the market areas that this study related to. The theoretical part of the study focuses on two separate areas. The first part of the theory focuses on a value-based selling concept: what it is, what it requires and what are the main barriers for value-based selling. The second part of the theory examines value creation in networks. The present knowledge over value creation in networks and different network actors are presented. Project marketing is also discussed briefly because this study’s topic, which is highly related to project business. The results reveal structural designers’ value drivers considering the usage of the column connection solution and present ways how suppliers should aim to impact structural designers to facilitate value-based selling. The main result of the study indicates that third party influencers can have a positive impact on facilitating value-based selling. Structural designers are communicating more or less with all the salient actors in different project phases and they can act as sponsors to support the sales of Peikko’s column connection solution and promote solution to other actors involved to the project. This requires that structural designers can understand the actual benefits of how the solution can improve their and their customers’ business.

The roles and tasks of salespeople in Software-as-a-Service company's value-based sales process

Recent research in relationships marketing and sales and sales management emphasizes companies’ ability to create customer value as a core of all business-to-business relationships. The role of individual salespeople in business relation-ships is commonly acknowledged, but has been largely neglected in extant literature. This study offers especially more detailed perspective on salespeople’s roles and tasks in business-to-business value-based sales process. It focuses especially on Software-as-a-Service business environment. The objective of the study is to find out how salespeople can create value in Software-as-a-Service value-based sales process. It determines value-based sales process, salespeople’s roles and tasks in it, and combines value assessment in to process. The results indicate that salespeople have to adapt different selling roles and tasks in Software-as-a-Service value-based sales process to be able to support the customer’s value-in-use experience. The process itself is highly complex, consisting of multiple facets and selling behaviors, and involves relevant actors from both parties of relationship. The study concludes with a discussion of possibilities that provide interesting aspects for future research.

Ma république. Tome 10 / . Auteur, Platon. Éditeur, J. de Sales... Ouvrage destiné à être publié en 1800

[La république (français). 1791]

L'enfant d'une vierge / Pierre Sales

Collection : Les Maîtres du roman populaire ; 2

Arrêt du grand conseil pour la dîme des Sainfoins et Bourgognes, tant dans les enclos que hors d'iceux. (Entre les religieuses des Filles-Dieu de Paris, et Jean-François-de-Sales Charmolue, curé de Houilles.)

[Acte. 1707-09-28. Paris]