Market Characteristics, Intra-Firm Coordination, and the Choice of Human Resource Management Systems: Evidence from New Japanese Data

This paper explores theoretically and empirically potentially important yet often-neglected linkage between task coordination within the organization and the structure of organization and bundling of HRMPs (Human Resource Management Practices). In so doing, we also provide fresh insights on the interplay between the firm’s technological and output market characteristics and its choice of HRMP system. We begin with constructing a team-theoretic model and derive three task coordination modes: vertical control, horizontal coordination, and hybrid coordination. The model provides rich implications about complementarity involving task coordination modes, HRMPs, training and hiring, and management strategies, and illustrates how such complementarity is affected by the firm’s technological and output market conditions. Guided by the theoretical exploration, we analyze unique data from a new survey of Japanese firms which provide for the first time data on newer forms of HRMPs adopted by Japanese firms (such as cross-functional offline teams and self-managed online teams). One novel finding (which is consistent with the theory) is that the adoption of both self-managed online teams and cross-functional offline teams usually arises in firms with shop-floor committees while the introduction of cross-functional offline teams alone often takes place in firms with joint labor-management committees. We also confirm implications from our theory that firms in more competitive markets are more likely to adopt both types of teams while firms facing more erratic price movement tend not to adopt self-managed online teams.

Coordination of Purchasing and Bidding Activities Across Markets

In both consumer purchasing and industrial procurement, combinatorial interdependencies among the items to be purchased are commonplace. E-commerce compounds the problem by providing more opportunities for switching suppliers at low costs, but also potentially eases the problem by enabling automated market decision-making systems, commonly referred to as trading agents, to make purchasing decisions in an integrated manner across markets. Most of the existing research related to trading agents assumes that there exists a combinatorial market mechanism in which buyers (or sellers) can bid (or sell) service or merchant bundles. Todayâ??s prevailing e-commerce practice, however, does not support this assumption in general and thus limits the practical applicability of these approaches. We are investigating a new approach to deal with the combinatorial interdependency challenges for online markets. This approach relies on existing commercial online market institutions such as posted-price markets and various online auctions that sell single items. It uses trading agents to coordinate a buyerâ??s purchasing and bidding activities across multiple online markets simultaneously to achieve the best overall procurement effectiveness. This paper presents two sets of models related to this approach. The first set of models formalizes optimal purchasing decisions across posted-price markets with fixed transaction costs. Flat shipping costs, a common e-tailing practice, are captured in these models. We observe that making optimal purchasing decisions in this context is NP-hard in the strong sense and suggest several efficient computational methods based on discrete location theory. The second set of models is concerned with the coordination of bidding activities across multiple online auctions. We study the underlying coordination problem for a collection of first or second-price sealed-bid auctions and derive the optimal coordination and bidding policies.

Fixing feedback revision rules in online markets

Feedback withdrawal mechanisms in online markets aim to facilitate the resolution of conflicts during transactions. Yet, frequently used online feedback withdrawal rules are flawed and may backfire by inviting strategic transaction and feedback behavior. Our laboratory experiment shows how a small change in the design of feedback withdrawal rules, allowing unilateral rather than mutual withdrawal, can both reduce incentives for strategic gaming and improve coordination of expectations. This leads to less trading risk, more cooperation, and higher market efficiency.Series: Department of Strategy and Innovation Working Paper Serie

Distributed Market Clearing Approach for Local Energy Trading in Transactive Market

This paper proposes a market clearing mechanism for energy trading in a local transactive market, where each player can participate in the market as seller or buyer and tries to maximize its welfare individually. Market players send their demand and supply to a local data center, where clearing price is determined to balance demand and supply. The topology of the grid and associated network constraints are considered to compute a price signal in the data center to keep the system secure by applying this signal to the corresponding players. The proposed approach needs only the demanded/supplied power by each player to reach global optimum which means that utility and cost function parameters would remain private. Also, this approach uses distributed method by applying local market clearing price as coordination information and direct load flow (DLF) for power flow calculation saving computation resources and making it suitable for online and automatic operation for a market with a large number of players. The proposed method is tested on a market with 50 players and simulation results show that the convergence is guaranteed and the proposed distributed method can reach the same result as conventional centralized approach.Comment: Accepted paper. To appear in PESGM 2018, Portland, OR, 201

Market Characteristics, Intra-Firm Coordination, and the Choice of Human Resource Management Systems: Evidence from New Japanese Data

This paper explores theoretically and empirically potentially important yet often-neglected linkage between task coordination within the organization and the structure of organization and bundling of HRMPs (Human Resource Management Practices). In so doing, we also provide fresh insights on the interplay between the firm’s technological and output market characteristics and its choice of HRMP system. We begin with constructing a team-theoretic model and derive three task coordination modes: vertical control, horizontal coordination, and hybrid coordination. The model provides rich implications about complementarity involving task coordination modes, HRMPs, training and hiring, and management strategies, and illustrates how such complementarity is affected by the firm’s technological and output market conditions. Guided by the theoretical exploration, we analyze unique data from a new survey of Japanese firms which provide for the first time data on newer forms of HRMPs adopted by Japanese firms (such as cross-functional offline teams and self-managed online teams). One novel finding (which is consistent with the theory) is that the adoption of both self-managed online teams and cross-functional offline teams usually arises in firms with shop-floor committees while the introduction of cross-functional offline teams alone often takes place in firms with joint labor-management committees. We also confirm implications from our theory that firms in more competitive markets are more likely to adopt both types of teams while firms facing more erratic price movement tend not to adopt self-managed online teams

Research on the Innovation of Business Ecosystem Model in China’s 0nline Food Reservation Market at Sharing Economic Era

At the sharing economy era, the online food reservation market has experienced great changes, such as the mobilization of ordering，cooperation of logistics , diversification of revenue stream. The ordering patterns has also changed from network order to improve user experience. At present, online food reservation market has difficulties inquickly dealing with the impacts and challenges bought by external environment due to lack of coordination and sharing mechanisms and competition over cooperation among economic individuals.Based on the theory of business ecosystem, this paper focuses on the impacts and challenges brought by the sharing economic era and takes “Huijiachifan” as a case study and proposes new framework of business ecosystem model in China\u27s online food reservation market

Why forums? An empirical analysis into the facilitating factors of carding forums

Over the last decade, the nature of cybercrime has transformed from naive vandalism to profit-driven, leading to the emergence of a global underground economy. A noticeable trend which has surfaced in this economy is the repeated use of forums to operate online stolen data markets. Using interaction data from three prominent carding forums: Shadowcrew, Cardersmarket and Darkmarket, this study sets out to understand why forums are repeatedly chosen to operate online stolen data markets despite numerous successful infiltrations by law enforcement in the past. Drawing on theories from criminology, social psychology, economics and network science, this study has identified four fundamental socio-economic mechanisms offered by carding forums: (1) formal control and coordination; (2) social networking; (3) identity uncertainty mitigation; (4) quality uncertainty mitigation. Together, they give rise to a sophisticated underground market regulatory system that facilitates underground trading over the Internet and thus drives the expansion of the underground economy

Coordination of Purchasing and Bidding Activities Across Markets

In both consumer purchasing and industrial procurement, combinatorial interdependencies among the items to be purchased are commonplace. E-commerce compounds the problem by providing more opportunities for switching suppliers at low costs, but also potentially eases the problem by enabling automated market decision-making systems, commonly referred to as trading agents, to make purchasing decisions in an integrated manner across markets. Most of the existing research related to trading agents assumes that there exists a combinatorial market mechanism in which buyers (or sellers) can bid (or sell) service or merchant bundles. Today’s prevailing e-commerce practice, however, does not support this assumption in general and thus limits the practical applicability of these approaches. We are investigating a new approach to deal with the combinatorial interdependency challenges for online markets. This approach relies on existing commercial online market institutions such as posted-price markets and various online auctions that sell single items. It uses trading agents to coordinate a buyer’s purchasing and bidding activities across multiple online markets simultaneously to achieve the best overall procurement effectiveness. This paper presents two sets of models related to this approach. The first set of models formalizes optimal purchasing decisions across posted-price markets with fixed transaction costs. Flat shipping costs, a common e-tailing practice, are captured in these models. We observe that making optimal purchasing decisions in this context is N P-hard in the strong sense and suggest several efficient computational methods based on discrete location theory. The second set of models is concerned with the coordination of bidding activities across multiple online auctions. We study the underlying coordination problem for a collection of firstor second-price sealed-bid auctions and derive the optimal coordination and bidding policies

Two-Sided E-Market Platform: A Case Study of Cross Border E-Commerce between Thailand and China

Cross Border Electric Commerce )CBEC( has become an important e-commerce model allowing local consumers to purchase products from international suppliers through CBEC platforms. However, in order to synchronize and coordinate the transactions between international sellers and local buyers, CBEC stakeholders need to build an online platform that link between the demand and supply markets. Thus, the Two-Sided Platform models where both buyers and sellers on both sides can share necessary information to promote a synchronous and coordinated market transactions. The two-sided platform can enable streamline coordination of products information, pricing and logistics transactions which could result in an optimal endto-end CBEC supply chain activities. CBEC stakeholders such as suppliers, consumers, logistic and warehouse companies can gain advantages by expanding the network externality where all parties share relevant information with one another through the two-sided platform. In this study, we conducted interviews with stakeholders who are a part of CBEC trade for Durian and Cosmetics; two of the most popular products from Thailand for the Chinese CBEC market. The study concludes with the need from both demand side and supply side to have an end-to-end coordination. Thus, a supply side or the seller market platform need to be created and link with the demand side platform. Also, in order for supply side market to be created and sustainable in the long run. There are four factors that must be involves in the process 1( government support, 2( Supply Chain Coordination, 3( Online Platform Design ad 4( CBEC Customer Marketing Strategies

Just a small delay? Bidding Behavior and Efficiency in overlapping multiple auctions

Online auction platforms like eBay provide a wide range of auctions containing substitutable goods. Some of these auctions exhibit parallel elements which means that two or more auctions run side by side for a certain time. Experiments have shown that multiple auctions ending at the same time, result in significantly lower efficiency due to the coordination failure of the buyers. I introduce an experimental setup with three sellers and four buyers in an overlapping multiple second price auction environment, where every seller runs one auction with a homogeneous good and the buyers are confronted with single unit demand. Furthermore, I vary the degree of the overlap between the successive auctions. One main result is that sellers revenue is significantly higher in overlapping multiple auctions than in parallel multiple auctions. Moreover, I observe a lower coordination failure of the buyers in overlapping auctions than in parallel multiple auctions. Due to these results, efficiency in overlapping multiple auctions is higher compared to the efficiency in parallel multiple auctions.internet auctions, cross bidding, market design, electronic business